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Enregistrement W4244571219 · doi:10.1108/s2398-601820180000004014

Index

2018· paratext· en· W4244571219 sur OpenAlexaboutno aff

Notice bibliographique

Revuenon disponible
Typeparatext
Langueen
DomaineMedicine
ThématiqueEthics in Clinical Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIndex (typography)MathematicsComputer scienceWorld Wide Web

Résumé

récupéré en direct d'OpenAlex

Citation (2018), "Index", Ethics and Integrity in Health and Life Sciences Research (Advances in Research Ethics and Integrity, Vol. 4), Emerald Publishing Limited, Bingley, pp. 203-214. https://doi.org/10.1108/S2398-601820180000004014 Publisher: Emerald Publishing Limited Copyright © 2019 Emerald Publishing Limited INDEX Academy of Nutrition and Dietetics, 7 Accountability, 25, 66, 71, 80, 88, 104, 108 Adaptability, 74, 109 Advanced consent, 158, 161, 163 Advanced Therapy Medicinal Products, 107, 112n12 Advocacy groups, 17, 79 Allocational vulnerability, 156 Alzheimer’s Association, 160 American Chemical Society, 95 American Society for Parenteral and Enteral Nutrition, 7 Animal research, 2–3, 8n4, 24, 29n15 AnimalTestInfo, 3 Animal welfare, 2, 14, 116 Anonymized data/anonymization, 45, 47, 48, 55–58, 68, 69, 74, 78, 79 Antiepileptic drug (AEDs), 75–76, 77 Arms Trade Treaty (2014), 139 Association for Responsible Research and Innovation in Genome Editing (ARRIGE), 6, 115–125 Association of Internet Researchers Ethics Working Committee, 58 AstraZeneca, 65 Australia, 123, 186 diet therapy, 174 drug therapy model, 189 Autonomy, 24, 29n14, 66, 68–70, 78, 79, 102, 103, 110, 162 and capacity to consent, 153 ethical principle of, 149–153 and informed consent, 150–153 Beauchamp & Childress, 24, 29n14, 149 Being in public, 51 Being public, 51 Beneficence, 24, 162 Benefit, as criteria for research, 72 Berkelely University, 119 Bias, 45, 47, 54, 67, 77, 120, 149, 195 Big Data, 45–47, 49–54 bias and representativeness of research, 54 claims against data sharing, 75 core values, attachment of, 67–75 data use, reuse, and misuse, 50–53 defined, 64–66 in genetic data, 77–79 in healthcare and life sciences, 63–80 for health professionals and researchers, 64–66 in health research, 77 online recruitment, 53 in public health, 76–77 research ethics in digital era, 54–56, 58 use in life sciences, 5 Bill & Melinda Gates Foundation (BMGF), 16 Biobanking and Biomolecular Resources Research Infrastructure – European Research Infrastructure Consortium (BBMRI-ERIC), 60n20, 65 Code of Conduct for Health Research, 58 Bioethics, 14, 58, 69, 80, 155 Bioinformatics, 63, 65, 76 Biologic, Toxin and Weapons Convention (BTWC), 139 Biosafety, 87, 88, 90, 93, 118 Biosafety Level 3 (BSL 3), 90 Biosafety Level 4 (BSL 4), 90 Biotechnology and Biological Sciences Research Council (BBSRC), 3 Body mass index (BMI), 169, 178–179 Broad consent, 48, 49, 69–71, 79, 80 BROAD Institute-MIT, 119 Burtscher, Wolfgang, 28 Business Insider , 187–188 Cambridge Analytica, 52 Canadian Animal Care Committee, 3 Capacity to consent autonomy and, 153 informed consent in persons without, 159–162 CBRN Security Culture, 95 Center for Infectious Diseases Research and Policy (CIDRAP), 36 Centers for Disease Control & Prevention (CDC), 35, 36, 39 Cervical cancer screening, in India, 15–16 Charlson Index, 178 Charpentier, Emmanuelle, 119 Charter of Fundamental Rights of the European Union, 47, 59n3 art. 1 (rights to human dignity), 47 art. 7 (respect of private and family life), 47 art. 8 (data protection), 47 art. 13 (right to freedom of arts and sciences), 47 art. 21 (non-discrimination), 47 Chemical Weapons Convention (CWC), 139 Child health data, 52 China genome editing, 117, 123 international collaborative genetic research project, 16–17 Kadoorie Biobank, 65 Chinese Academy of Sciences, 111n5 Citizenry, 66 Civil security, 90, 91, 100 Clinical dementia research, 7, 147–164 ethical challenges and issues in, 158–159 informed consent in persons without capacity to consent, 159–162 ethical framework and decision-making in autonomy, 149–153 decision-making capacity and competence, 153–155 vulnerability, 155–157 ethical questions, 162–163 recommendations for, 163–164 Clinical Trials Regulation, 103 Cognitive vulnerability, 156 College of Commissioners, 101 Comfort feeding, 7 Commission for the Study of Ethical Problems in Medicine & Biomedical and Behavioral Research, 79 Competence, 100, 103, 104, 150, 153–155, 162 “Complete Khoisan and Bantu Genomes from southern Africa”, 17 Convention for the Protection of Human Rights, 59n2 Article, 13, 122 Coronary Health and Improvement Program, 194 Corrective fairness, 25 Council of Europe (CoE), 57, 60n17, 111n6 Convention for the Protection of Human Rights and Fundamental Freedoms, 59n2 Council of State, France, 106, 121 Court of Justice of the European Union, 106, 121 Crick Institute, 117 CRISPR (Clustered Regularly Interspaced Short Palindromic Repeat) array, 106, 107, 115–122, 124 CRISPR-Cas9 system, 90, 99, 100, 102–108, 117, 120, 122, 139 Cultural sensitivity, 23 peer educators for sex workers, 22 safety and ethics, 86–87 Culture of safety and security, shaping, 85–95 added value of, 94 current and future direction of, 93–84 ethics review to safety governance in emerging technologies, using, 89–90 ethics review to security governance in emerging technologies, using, 92–93 Framework Program, 9, 94–95 safety governance, 87–89 security and ethics, 90–91 security governance, 91 DASH (Dietary Approaches to Stop Hypertension) Diet, 172, 173, 176–178 Data anonymized/anonymization, 45, 47, 48, 55–58, 68, 69, 74, 78, 79 bias in, 45, 47, 54, 67, 77, 120, 149, 195 Big Data. See Big Data donors, data sharing risks for, 75 ethics approach toward, 56–59 extraction, 64 minimization, 48, 49, 59, 75 misuse, 45, 50–53, 57, 58, 67, 80 ownership, 13, 66–67, 76, 77, 79 producers, costs and burdens for, 75 quality, 49, 67, 68, 76 reuse, 50–53 science, 46, 49, 54, 58, 59 security, 48, 55 storage, 66–67 use, 50–53 Data protection, 4, 5, 45–51, 54–57, 60n8, 67, 68, 80 regulation of, 47–49 right to, 54, 59n4 Data Protection Directive 95/46/EC, 5, 56 Data Protection Working Party Article, 29, 48, 49, 59n6, 60n7, 60n8 Data sharing, 46, 47, 58, 66–67, 71, 72, 74, 76, 77, 80 claims against, 75 Death computer, 77 Decision-making capacity, 7, 147, 149–155, 157, 158, 160 myths of, 155 Declaration of Helsinki, 132 Article, 21, 25 Defense Advanced Research Projects Agency (DARPA), 135 Deferential vulnerability, 156 De-identification. See Anonymized data/anonymization Deliberate Release Directive, 104 Department of Health and Human Services, 16 Devinsky Antiepileptic Drug Study, 77 Dietary Approaches to Stop Hypertension (DASH). See DASH (Dietary Approaches to Stop Hypertension) Diet Diet therapy, 7, 169–181 complexity of, 178–181 defined, 170–171 and science, 175–177 simplicity of, 178–181 Digital era, ethical challenges in, 5, 45–60, 70 Big Data, 49–54 privacy and data protection safeguards, 47–49 research ethics, 54–59 Directive 90/220/EEC, 111n8 Directive 90/385/EEC, 112n10 Directive 98/44/EC, 112n12 Directive 2001/18/EC, 106, 111n1, 111n8, 111n9, 121 Article 2(2), 105 Article, 3, 105 Directive 2001/20/EC, 59n5, 86, 111n7 Directive 2001/83/EC, 111n10 Direct-to-consumer (DTC) products, 133 testing, 78 Distributive justice, 72–74 Do-It-Yourself (DIY) movement, 121, 133–134, 139 Doudna, Jennifer, 116, 119 DowDuPont Pioneer, 117, 125n3 Drug therapy model, for nutrition mismatch, 187–190 Dual use, 6, 92, 103, 108, 109, 112n17 definitions of, 130–132 in neuroscientific and neurotechnological research, 129–142 do-it-yourself/neurobiohacking, 133–134 ethical address and guidance, 139–141 extant treaties and regulations, 138–139 military/warfare, 134–138 viability of, 130 Dual Use Research of Concern (DURC), 130–132, 134, 138–140 in neuroscience and neurotechnology, 132–133 Dynamic consent, 70 advantages of, 70–71 Early Breast Cancer Trialists’ Collaborative Group (EBCTCG), 189 Ebola hemorrhagic fever. See Ebola virus disease (EVD) Ebola virus disease (EVD), 46 background of, 35–36 care in resource-limited settings, 5, 18, 33–42, 36–38 epidemic, ethical considerations associated with, 42 healthcare workers, fear and stigmatization of, 38–39 repatriation of international workers, from EVD-affected countries, 39–41 EFSA Panel on GMOs, 101, 111n3 Electronic health records, 64, 66 Elwa Public Hospital, 40 Enteral nutrition, 7 Equality gene editing, 102, 110 Equity, 66, 72, 73, 103, 108, 110 promotion, in international research, 11–29 Ethics approach toward data, 56–59 bioethics, 14, 58, 69, 80, 155 codes, for life sciences, 4 dumping. See Ethics dumping governance, 15 in situ, 6–8 neuroethics, 135, 141 research, 54–59 review. See Ethics review safety and, 86–87 security and, 90–91 Ethics dumping, 11–18, 23, 26, 27, 28n1, 90 case studies, 14–18 China, international collaborative genetic research project in, 16–17 India, cervical cancer screening in, 15–16 In life sciences, 4–5 retrospective approval for study in Liberia, seeking, 18 San people-involved international genomics research, 17 tools, 13 Ethics review, 4, 6, 23, 55, 56, 58, 85 to safety governance in emerging technologies, using, 89–90 to security governance in emerging technologies, using, 92–93 EU Law, gene editing governance in, 103–105 Eurobarometer survey, 2, 47 European Academies Science Advisory Council (EASAC), 101 European Commission (EC), 4, 12, 60n8, 60n15, 90, 131 General Data Protection Regulation (GDPR) 2016/679, 5 Horizon 2020 Ethics Appraisal Procedure, 86, 89, 92–93, 102, 104 Joint Research Centre, 101 Scientific Committees, 101–102 Society Unit, 28n1 European Commission Report, 131 European Community, 132 European Convention of Human Rights, 47 European Group on Ethics (EGE), 103, 104 European Medicines Agency (EMA), 106, 132 European Research Area (ERA), 5 European Steering Committee, 6, 123 European Union (EU), 2, 3, 6, 12, 47, 60n15, 88, 90 Charter of Fundamental Rights, 47 gene editing governance, 99–112 Exploitation prevention, in international research, 11–29 Exploratory analysis of data, 64 Facebook, 46, 51–53 Fairness, 12, 24–25, 27, 49, 73 corrective, 24 in exchange, 24 Global Code of Conduct for Research in Resource-Poor Settings, 27 Fertility Diet, 172, 174 Flexitarian Diet, 172, 173 Food and Agriculture Organization of the United Nations (FAO), 7 Food and Drugs Administration (FDA), 187 Food and Feed legislation, 103, 111n9 4Ps principle, 75 Framework Program 9 (FP9), 94–95 Funder Platform, 18, 19 Fuzziness, 178–180 Gene drive, 99, 101, 102, 107–109, 118, 119, 124 Gene editing, 6, 90, 93, 139 advances of, 116 developments, marketable products derived from, 119–120 extended applications of, 118–119 governance, in EU, 99–112 ethical challenges to, 102–104 EU-wide regulatory intervention, need for, 109–111 gene drive, 107–109 regulatory questions and legal status of, 104–107 responsible use of, 115–125 risks and regulation of, 121–122 General Data Protection Regulation (GDPR) 2016/679, 5, 46–49, 53, 56–57 art. 4.11, 48 art. 7.3, 50 art. 14.5 (b), 49 art. 31 (1), 57 art. 35 (1), 57 art., 89, 49, 55 art. 3.1ii, 60n17 broad consent, 48 Gene sequencing, 78 Genetically modified organisms (GMOs), 87, 100, 101, 104–106, 109, 111n1 Genetic data, Bid Data in, 77–79 Genetic discrimination, 78, 79, 80n1 Genetic exceptionalism, 79, 80 Genetic Information Non Discrimination Act (GINA), 78 Genetic privacy, 78, 79 Geneva Protocol, 139 Genome-wide association studies (GWAS), 67 Genomics England, 65 German Ethics Council, 103 Germany dual use in neuroscientific and neurotechnological research, 141 ethical review to safety governance, 90 repatriation of international workers, 40 Global Alliance for Genomics and Health (GA4GH) for, 65 Global Code of Conduct for Research in Resource-Poor Settings, 5 Article, 1, 27 developing, 26–28 ethics dumping, 27 Exploitation Risk Table, 27 Google, 46 Hague Convention(s), 139 Harvard Catalyst Regulatory Foundations social media research, peculiarities of, 57 Healthcare, Big Data in, 63–80 Healthcare Risk Management, 40 Healthcare workers (HCWs), 15, 37 Ebola transmission, fear and stigmatization of, 33–34, 38–39, 41, 42 Health research, 15, 46, 58, 63, 64, 66, 76 Big Data in, 77 High-income countries (HICs), 12, 13, 17, 28 High Level Group of the Commission’s Scientific Advice Mechanism (SAM), 55, 57, 101 Hinxton Group, 101 Hippocratic Oath, 180 Honesty, 24–26, 74–75 intellectual, 74 radical, 74 Horizon Europe, 12 Horizon 2020 Ethics Appraisal Procedure, 12, 28, 28n2, 59, 60n21, 86, 89, 92–93, 102, 104 Horizon scanning, 89 House of Commons Science & Technology Committee, 51 Human Fertilisation and Embryology Authority (HFEA), 117 Human Genome Project, 77 Human Heredity and Health in Africa (H3Africa), 65 Human–machine interactive networks, 136 Human rights, 25, 46, 51, 56, 59, 86, 90, 92 Human security, 91, 92 IBM X-Force Research (2017), 53 ICED Index, 178 India, 123 cervical cancer screening in, 15–16 ethics dumping, 15 Inductive reasoning, 64 Information disclosure, 151–152 Informed consent (IC), 7, 13, 14, 16, 17, 23, 26, 51, 52, 76, 78–80, 132 autonomy and, 150–153 basic elements of, 150–151 clinical dementia research, 147, 149, 158, 159, 163 decision-making capacity, 154 peer educators for sex workers, 21–22 in persons without capacity to consent, 159–162 advanced consent, 161 proxy consent, 160–161 supported decision-making, 161–162 respect for, 68–71 vulnerability, 156, 157 INSERM (the French National Institute for Health and Medical Research) Ethics Committee (IEC), 123 In situ ethics, 6–8 Institute of Electrical and Electronics Engineers (IEEE) Model Process for Addressing Ethical Concerns during System Design, 58–59 Institute of Medicine, 71 Institutional Review Boards (IRBs), 18, 132, 159 Intellectual honesty, 74 Intelligence Advanced Research Projects Activity (IARPA), 135 Intensified data sourcing, 64 International Agency for Research on Cancer (IARC), 16 International Association of Gerontology and Geriatrics (IAGG), 148 International Atomic Energy Agency (IAEA), 94, 95 International Declaration on Human Genetic Data (IDHGD), 79 International Ebola Response Team, 38 International justice, 28 International research, equity promotion and exploitation prevention in, 11–29 ethics dumping, 13–18 Global Code of Conduct for Research in Resource-Poor Settings, developing, 26–28 TRUST’s global engagement activities, 18–24 Internet. See Digital era, ethical challenges in Interventional research, 71 Intrexon, 118 Investopedia, 13 In vitro fertilization (IVF), 117 Irish Council for Bioethics, 55–56 Johnson & Johnson, 188 Justice, 24, 28, 66, 102, 103, 110, 159, 162 distributive, 72–74 gene editing, 102 social, 195, 198 Kadoorie Biobank, 65 Kenyan Research Ethics Committee (REC) research governance versus research ethics challenges, 23 TRUST’s global engagement activities, perspective of, 18–24 Ketogenic diet, 175, 176 Lagos Mainland Hospital, Yaba, 39 Legal/regulatory compliance approach, 87 Liberia Ebola virus disease, 33–36, 40 retrospective approval for ethics dumping study, seeking, 18 Life sciences, 3–8, 130 Big Data in, 5, 63–80 ethics codes for, 4 ethics dumping. See Ethics dumping research production process in, 1–2 Linguistic variables, 169, 178, 179 Lisbon Treaty, 139 Low- and middle-income countries (LMICs), 12, 13, 23, 27, 28, 28n9 Malnutrition problems, 7 Mayo Clinic Diet, 172, 173 McDougall Program, 194 Médecins Sans Frontières (MSF), 36 Medical practice, 7, 132, 185–198 Medical research, 24, 25 ethical challenges in digital era, 5, 45–60 Medical Research Council (MRC), 3 Medical vulnerability, 156 Mediterranean diet, 172–173 Military/warfare dual-use applications, of neuroscientific and neurotechnological research, 134–138 direct weapinization, 137–138 human–machine interactive networks, 136 neural systems modeling, 136 performance optimization, 136–137 resiliene in combat and military support personnel, 136–137 Mind control, 138 MIND Diet, 172, 173 Mind reading, 138 Misuse of data, 50–53, 57, 58 Model Process for Addressing Ethical Concerns during System Design, 58–59 Mojica, Francisco Martínez, 115 Morris, Martha Clare, 173 Mortality rate, of EVD epidemics, 37 National Academy of Medicine, 111n5 National Academy of Sciences (NAS), 100, 111n5, 197 National Action Plan on Breast Cancer (NAPBC) Working Group, 79 National Institutes of Health (NIH, USA), 16, 55, 171, 179, 186 Office of Science Policy (OSP), 130–131 National Research Council of the United States Academy of Sciences (NRC), 134, 135 National security, 90–92, 131, 135, 140 Netherlands, the ethical review to security governance, 93 ethical review to safety governance, 90 gene editing, 106, 121 repatriation of international workers, 39, 40–41 Neural systems modeling, 136 Neurobiohacking, 133–134, 140 Neurohacking, 6 Neuroscientific research, dual use in, 129–142 military/warfare. See Military/warfare dual-use applications, of neuroscientific and neurotechnological research Neurotechnological research, dual use in, 129–142 military/warfare. See Military/warfare dual-use applications, of neuroscientific and neurotechnological research Neurotechnologies Industry Report, 134 New Breeding Techniques (NBT), 101, 110, 121 New Zealand “Predator-free 2050” plan, 119 War on Rats, 125n7 Next-generation sequencing technologies, 67, 78 Niakan, Kathy, 117 Non-discrimination, 47, 56, 57, 59, 110 Non-Human Primates (NHP), 3 Non-invasive brain stimulation (NIBS), 131 Non-maleficence, 24, 102, 130 Nuffield Council on Bioethics, 103 Nuffield Council Report, 134 Nutrition mismatch, medical practice for, 185–198 drug therapy model, 187–190 nutrition therapy model, 190–195 public intervention model, 195–198 Nutrition therapy model, 190–195 Occupational Safety and Health Assessment (OSHA), 87, 89 Office of Science Policy (OSP), 130–131 Off-label use, 131, 132–133 OkCupid, 51 Online recruitment, 45, 53, 54 Open communication, 26 Open data, 45, 52, 60n12 Open Data Institute, 60n12 Organization for Economic Co-operation and Development (OECD), 47, 67, 188 Ornish Diet, 172, 174 Partners for Health and Development in Africa (PHDA), 18 Sex Workers Outreach Programme, 21 Personalized medicine, 190 Peto, Sir Richard, 189 Pew Charitable Trusts, 188 PlantPure, 197 Population biobanks, 67 Porteus, Matt, 120 Precautionary Principle, 88–89, 90, 100, 122 Precision medicine, 65, 68, 190 Precision Medicine Initiative, 65 President’s Commission on Bioethics Report, 79 Principles of Humane Experimental Technique, The (Russell and Burch), 3 Pritikin Center, 194 Privacy, 2, 5, 45, 47–57, 59, 64, 66–69, 71, 75, 76, 78–80, 110, 149, 158 genetic, 78 losses, 72 right to, 56 Proceduralism, 110 Productivity output, 1 Proxy consent, 160–161 Psychological operations (PSYOPS), 137 Public data, 47, 51–52, 57–59 Public health, Big Data in, 76–77 Public health-oriented ethics, 69 Public intervention model, for nutrition mismatch, 195–198 Radical honesty, 74 Reciprocity, 66, 73, 74 Reductionism, 194, 195 Regulation on Medical Devices, 103 Repatriation of international workers, from EVD-affected countries, 39–41 Research and development (R&D), 2, 187–188 Research and innovation (R&I), 2 Research ethics, in digital era, 54–59 Research Ethics Committees (REC), 58, 89, 90, 93, 132, 159 Research integrity, 2, 26, 75 Research production process, in life sciences, 1–2 Resilience, 74, 75, 136–137 Resource-limited countries, EVD care in, 36–38 Respect for autonomy, 149 Respect for informed consent, 68–71 Respect for persons, 68–71, 150, 162 Respect of private and family life, 47 Responsible Research and Innovation (RRI), 86, 94 Restoring Active Memory (RAM), 135 Reuse of data, 50–53 Right to data protection, 59n4 Right to freedom of arts and sciences, 47 Right to human dignity, 47 Right to privacy, r6 Risk assessment, 87, 89, 101, 102, 107–109, 141 Risk of harm, 68, 153, 157 Riyadh Intensive Care Program Mortality Prediction Algorithm, 77 Robustness, 74, 75, 118 Royal Society Working Group on Neuroscience, 111n5, 141 Safety, and ethics, 86–87 Safety culture, defined, 94 Safety governance, 87–89, 93 in emerging technologies, ethics review to, 89–90 San Code of Research Ethics , 21, 24 San Diego-based biotech Human Longevity, 65 Sanger Institute, 65 San, the, 18 people, international genomics research using, 17 Research and Media Contract , 21 sex workers, peer educators for, 19, 21–22 Scientific Committee on Consumer Safety (SCCS), 102, 111n4 Scientific Committee on Emerging and Newly Identified Health Risks (SCENIHR), 102, 111n4 Scientific Committee on Health and Environmental Risks (SCHER), 102, 111n4 Scientific value, International on Nutrition 7 2, 6, 48, 53, 55, 57, 67, 68, 139 90, 91, 100 109 and ethics, 90–91 91, 92 90–92, 131, 135, 140 Security governance, 86, 90, 91 in emerging technologies, ethics review to, 92–93 87, Sex workers, 18 in 28n9 in San, peer educators for, 19, 21–22 Sex Workers Outreach Programme, 21 vulnerability, 156 vulnerability, 156 39, 66, 110 San Institute 18 repatriation of international workers, 39, 40 19 135 decision-making, 158, 161–162 25, 108 gene editing, 106, 121 medicine, 63, 65, 76 Diet, 172, 173 principle, 3, 29n15 106, 116 26, 49, 60n7, 66, 76, 101, 110, 123 Treaty on the of the European Union Article 59n4 194 57, 58, 68, 77, 80, 99, 110, 180 project, 4, 5, 11–29 25 fairness, global engagement Kenyan Research Ethics Committee 23 of 24 sex workers in San, peer educators for, 19, 21–22 honesty, 25 of, Center for the Study of Drug 187 17 46, 51, 76 in safety governance, 103, 104, 110 International Declaration on Human Genetic Data (IDHGD), 79 United Genomics England, 65 Human Fertilisation and Embryology Authority (HFEA), 117 Royal Society, 111n5 United Nations Council of the Development 28 Security Council 139 United States Department of Agriculture 117, 121, Department of Health and Human Services, 16 drug therapy model, 189 of 134 Food and Drugs Administration (FDA), 187 gene editing developments, marketable products derived from, 119 Genetic Information Non Discrimination Act (GINA), 78 National Academy of Medicine, 111n5 National Academy of Sciences (NAS), 100, 111n5, 197 National Institutes of Health 16, 55, 171, 179, 186 Precision Medicine Initiative, 65 repatriation of international workers, 40 safety governance in, United National Research Council, 141 66 74 Use of data, 50–53 and Office Diet, 172, 46 of the 15 Diet, 173 7, 21, 56, 147, 158, 162 156 156 156 ethical principle of, 155–157 156 156 social, 156 defined, 137 of Diet, 3, 65 medicine, 186 46, 52 diet 194, 195 Working Group of in Africa 17 Health Organization 5, 7, 16, 36, 148 46 121 101, 119 116 Research in Life Sciences and Exploitation in International The and of the Ebola in Science and Ethics Ethics in the Digital on Medical Research Big Data in Healthcare and the Life Sciences Culture of Safety and Security in Research on Emerging to Ethics Gene Editing in the European and Ethical Responsible Use of Genome Editing Dual Use in Neuroscientific and Neurotechnological for Ethical and Ethical of Informed and in Clinical Research Diet Therapy Ethical and The of Nutrition and The Science of Nutrition in Human Health

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,282
Score d'incertitude au seuil0,000

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,009
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0050,007
Études des sciences et des technologies0,0030,001
Communication savante0,0120,009
Science ouverte0,0030,004
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,7180,708

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,630
Tête enseignante GPT0,666
Écart entre enseignants0,036 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

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Publié2018
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