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
When we look to the past from a present-day neoliberal standpoint, we end up writing stories about market-dominant evolutionary processes. In contrast, this chapter presents the stories of three public research organizations and the politics around their establishment: the Canadian Naval Research Establishment, the BIO, and Dalhousie University's Oceanography Department. In these organizational settings, private companies are enrolled in political missions of military defence, Canadian sovereignty, and scientific one-upmanship. The stories characterize public organizations as active political agents. Meanwhile, the private companies around them can be characterized as 'quartermasters' – like the individuals responsible for providing supplies to units in an army (or the Q Branch in James Bond). They were producing the scientific instrumentalities needed for multiple 'cold wars'. But this relationship is also more nuanced than simple provision of equipment and services – it was often a close two-way partnership. The technical expertise provided by scientific instrument companies helps to set the course for science, and vice versa. Telling the past in this way makes the boundary between public and private organizations messier than it appears in neoliberal ideology.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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