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
Dans cet article, nous analysons les écarts de rémunérations et de revenus entre les Autochtones et les autres Canadiens nés au pays, de 1995 à 2005. Nous observons que, chez les personnes ayant des caractéristiques identiques (l’âge et le degré de scolarité, par exemple), la rémunération et les revenus des Autochtones sont largement inférieurs à ceux des autres travailleurs canadiens. Nous estimons que cet écart est de 10 % à 20 % chez les femmes, et de 20 % à 50 % chez les hommes. Parmi les Autochtones, ce sont les Indiens inscrits qui ont les revenus les plus bas, suivis des personnes qui se déclarent d’identité autochtone ; les personnes d’ascendance autochtone, mais ne faisant pas partie des deux groupes précédents, sont celles qui ont les meilleurs revenus.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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