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
Par une journee de l’hiver 1996, alors que j’effectuais, dans le cadre de ma these de doctorat, un terrain de recherche a Umiujaq, mon interprete decida de m’emmener au bord du lac Guillaume-Delisle. Apres un long moment de contemplation, il rompit le silence pour me dire : « Un jour le gouvernement va creer ici un parc. Il y a des Inuits qui sont contre, car ils ont peur qu’on ne puisse plus aller chasser a cause des touristes et des environnementalistes […] Mais moi je n’ai pas peur : emmenez-en, des touristes ! Nous sommes prets a les accueillir. » Bien que ma these ne portât pas sur les aires protegees, cette declaration enthousiaste de mon interprete, generalement assez reserve, m’avait surpris, si bien que je l’avais prise en note, sans vraiment savoir quel usage j’en ferais.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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 it