Comparing methods of ethical consultation for biotechnology related issues.
Notice bibliographique
Résumé
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. …
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».