Bibliographic record
Abstract
Research confidentiality in Britain is under attack. Indeed, in some quarters the ‘Law of the Land’ doctrine that absolutely subjugates research ethics to law is already a fait accompli. To illustrate the academic freedom issues at stake, the article discusses: (i) the Cambridge Psychology Research Ethics Committee’s ban of interview questions about a research participant’s involvement in criminal acts; (ii) the awarding of damages against Exeter University when it reneged on its agreement to uphold a doctoral student’s guarantee of ‘absolute confidentiality’ in his research on assisted suicide; and (iii) the controversy around the UK government’s attempt to obtain confidential records from the Belfast Project − an oral history of paramilitaries involved in the Troubles in Northern Ireland. The article urges British researchers to practice – or, at least, defend the academic freedom of their colleagues to practice – the ‘ethics-first’ doctrine of strict confidentiality that several North American disciplinary associations encourage.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.053 | 0.069 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.034 | 0.089 |
| Scholarly communication | 0.019 | 0.008 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.009 | 0.014 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".