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Enregistrement W125346268

Comparing methods of ethical consultation for biotechnology related issues.

2006· article· en· W125346268 sur OpenAlexaboutno aff
Holly Longstaff, Michael Burgess, Patrick Lewis

Notice bibliographique

RevuePubMed · 2006
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueGenetically Modified Organisms Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBioethicsDeliberationPublic relationsSociologyPolitical sciencePsychologyLawPolitics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

This paper provides a brief summary of the final public consultation event conducted as part of the Democracy, Ethics, and Genomics: Consultation, Deliberation and Modelling [DEG] project at the W. Maurice Young Centre for Applied Ethics [CAE] at the University of British Columbia [UBC]. (1) The all day event took place in Vancouver, British Columbia on Saturday, September 24, 2005. The DEG project, funded by both Genome Canada and Genome BC, compares two methods of ethical analysis for the development of public policy in the area of (2) Primary Investiator Dr. Mike Burgess leads a team conducting focus groups with various publics in order to identify the moral dimensions and perspectives of issues raised by participants. (3) Dr. Peter Danielson leads the Norms Evolving in Response to Dilemmas [NERD] team, which uses web-based surveys in their research. These surveys typically include twelve questions that support deliberative decision-making by providing participants with access to five advisors who offer scientific, policy, ethical, and pro and con advocate advice. (4) The dual objectives of this one-day event were: (1) to compare and contrast DEG project methods using salmon genomics as the common topic; and (2) have participants develop and rate a list of public consultation criteria. Individuals were randomly recruited from Vancouver and were paid a $100 honorarium for their participation. The final sample included people somewhat familiar with computers, who did not have prior or expert knowledge of genomics or salmon aquaculture. The sample also included individuals of all ages and filtered for an even gender split. The day began by separating participants (n = 41) into two similarly sized cohorts. Members of cohort A participated in one of three two-hour focus groups while those in cohort B completed a NERD survey (of approximately one hour) followed by an hour-long open discussion of the survey. The cohorts then came together for a two-hour group deliberation that began with a ten-minute overview from a participant from one of the three focus groups and from the NERD group. The overview presented some of the groups' conclusions regarding salmon genomics. Participants also had an opportunity to discuss their experiences thus far in the process and to speak to points on which the groups converged and diverged, and reasons for their conclusions. All participants were then encouraged to take part in developing criteria that identifies information or processes the participants believe are necessary to make good decisions in consultation processes, such as the one they had just completed (regarding salmon genomics). This discussion was led by a list of pre-determined consultation criteria compiled by DEG team members. These initial criteria addressed aspects of effective public consultation that could be used to evaluate the DEG project methods. A senior facilitator used these criteria to guide the group consultation process, only presenting the criteria if they were overlooked during the group discussion. The group conclusions and pre-determined criteria were then inserted randomly into a web-based survey. Participants used this survey to evaluate the conclusions and consultation standards during the last stage of the event. The exit survey took participants (n=37) approximately thirty minutes to complete and was divided into four sections (1) public representation, (2) engaging and reasonable process, (3) informed opinions, and (4) process outcome. The results discussed in the remainder of this paper fall under the fourth section of the survey. Preliminary findings indicate this consultation event was a success. Nearly three-quarters (74%) somewhat or strongly agreed that the conclusions reached by this type of consultation process should direct regulatory policy. Results also indicate that almost all (94%) participants would be willing to engage in this type of event again. …

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)0,305
score de la tête « metaresearch » (Gemma)0,527
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Méthodes · Signal consensuel: Méthodes
Score de désaccord entre enseignants0,305
Score d'incertitude au seuil0,857

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,3050,527
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,003
Bibliométrie0,0070,005
Études des sciences et des technologies0,0050,011
Communication savante0,0100,010
Science ouverte0,0030,014
Intégrité de la recherche0,0040,006
Charge utile insuffisante (le modèle a refusé de juger)0,0180,002

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 Opus0,073
Tête enseignante GPT0,318
Écart entre enseignants0,245 · 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
GenreMéthodes

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

En bref

Citations6
Publié2006
Routes d'admission1
Résumé présentoui

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