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
The analysis of technoscientific regulatory controversies is now an established genre within science studies, with a small but important methodological and meta-literature. That literature has only rarely noted how published accounts of particular controversies inevitably employ narrational strategies, including decisions about emplotment, time-frames, character-motivation, and the use of tropes, to endow these stories with political and epistemological meaning. In an exercise designed to recover these narrational elements and promote narrative consciousness, this paper presents two separate accounts of a single important controversy: Canada's recent regulatory experience with the Monsanto Corporation's recombinant bovine somatotropin (rBST). The discussion points out the different narrational strategies employed in each account, and analyses how these strategies interact with explicit or theory-based interpretive approaches to determine how the accounts contribute to `public moral argument' about regulatory affairs. It concludes with broader speculations on the advantages that a greater reliance on narrative form has to offer the field of controversy-analysis and science studies in general.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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