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
On retrouve dans cet article les rsultats d'un sondage national sur la personnalit des archivistes au Canada, ralis en 1998 en utilisant le test de Keirsey (Keirsey Temperament Sorter).Les tests et les types de personnalit sont analyss dans le but de fournir le contexte global du sondage canadien, qui fut ralis afin de faire des parallles avec des tudes similaires effectues aux tats-Unis et en Australie.Les rsultats canadiens sont prsents sous forme de tableaux et des comparaisons sont faites avec le portrait des types de personnalit de la population mondiale tel qu'tabli par des tudes faites dans plusieurs pays et accessibles lectroniquement.Ce sondage sur la personnalit des archivistes est reli l'enqute dmographique plus large sur les archivistes canadiens dont il forme une partie.
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 | 0.001 | 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) | 0.004 | 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