Bibliographic record
Abstract
RemerciementsCet ouvrage a connu un long processus de maturation, et c'est pourquoi la liste des personnes qui ont contribué à sa réalisation est longue elle aussi.J'aimerais d'abord et avant tout remercier Derek Gregory et Cole Harris, de l'Université de Colombie-Britannique (UBC), de m'avoir accueillie au département de géographie et d'avoir facilité ma transition depuis les études littéraires en m'offrant un encadrement rigoureux.Je dois aussi des remerciements à Geraldine Pratt, David Ley et Trevor Barnes, de l'UBC également.Allan Pred m'a servi de mentor tout au long de ce projet, tout comme Neil Smith ; ils nous manquent à tous (Allan est décédé en 2007, Neil, en 2012).Sherrill Grace m'a offert, dès le départ, soutien et inspiration.Les commentaires de Don Mitchell ont été d'une aide précieuse tout au long de l'élaboration de cet ouvrage.Puissance Nord n'aurait pas vu
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.112 | 0.005 |
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".