Engaging the Public on Biobanks: Outcomes of the BC Biobank Deliberation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In April 2007, a research team led by M. Burgess conducted a public engagement, the BC Biobank Deliberation, focused on the issue of biobanks. The project was motivated by an observation that current policy approaches to social and ethical issues surrounding biobanks manifest certain democratic deficits. The public engagement was informed by political theory on deliberative democracy with the aim of informing biobanking policies, in particular in British Columbia (BC), Canada. The purpose of this paper is to provide a comprehensive outline of the conclusions reached by the deliberants (both recommendations based on consensus and issues that emerged as persistent disagreements). However, the process whereby the specific conclusions to be delivered to policy makers are identified is not a self-evident process. We thus provide a critical analysis of how the results of a public engagement such as the BC Biobank Deliberation can be conceptualized given the context of a large qualitative data set and an imperative to provide useful information to policy makers, while honoring the mandate under which deliberants were recruited. In particular, we make the case for distinguishing between deliberative outputs of public engagement and analytical outputs that are the product of social scientific analyses of such engagements.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it