Michael D. Mehta (Ed.), <em> Biotechnology Unglued: Science, Society & Social Cohesion. </em> Vancouver: UBC Press, 2005, 194 pp., $29.95 paper.
Bibliographic record
Abstract
<p><em>Biotechnology Unglued: Science, Society & Social Cohesion</em> engages with issues such as farming, food safety, genetic database collections, DNA testing, bioprospecting, and intellectual property. The intention of editor Michael Mehta is to examine these issues in relation to how they impact the social cohesion of society, in particular of communities more directly impacted. For example, Mehta writes about how genetically engineered seed technologies have impacted farming communities in Canada, while Jacqueline Broerse and Joske Bunders examine how these same technologies affect smaller-scale, resource-poor farmers in the South, and Kyle Eischen discusses the implications for the Icelandic population as a result of the creation of a national Iceland Genetic Database, which is largely controlled by the DeCode Genetics company.</p>
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.
How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".