Bibliographic record
Abstract
In her provocative article, ‘Agency, Truth and Meaning: Judging the Hutton Report’, Diana Coole makes two important claims: first, that ‘political inquiry is impoverished to the extent that theorists … ignore the more mundane reports and statements that help constitute everyday political life’; and secondly, that a theoretical analysis of the Hutton Report shows it to have been informed by a particular conception of truth (Lord Hutton's own conception) that largely guaranteed its conclusions and served to make Dr Kelly and the BBC ‘victims of a particular sense of truth’. I share Coole's belief that political theorists should contribute more to the analysis and understanding of ‘mundane’ texts, but I have grave reservations about the kind of analysis she favours, and about its implications in this particular case. It seems to me that her focus on truth is de-politicizing, while her conclusion that Dr David Kelly was a ‘victim’ rests upon a simplistic understanding of moral agency and responsibility. If we wish to bring the resources of theory to bear on everyday political texts, we do better, I suggest, to focus on moral and political philosophy than on epistemology. TRUTH Coole claims that the conclusions of the Hutton Report were informed (even determined) by a ‘positivist-juridical (empiricist-legalistic)’ conception of truth, one which displayed ‘antipathy towards the idea that truth is a matter of interpretation and hence dependent on subjective judgements’. As this conception worked its way through the inquiry it ‘guaranteed’ partisan conclusions that were at odds with the self-understanding of other protagonists in the affair, most notably that of Dr David Kelly.
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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 | 0.035 | 0.132 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.041 |
| Scholarly communication | 0.017 | 0.029 |
| Open science | 0.006 | 0.011 |
| Research integrity | 0.058 | 0.085 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".