Espace social, images mentales de la ville de Sherbrooke : cheminement d’un néophyte
Bibliographic record
Abstract
Cet article présente divers travaux que j’ai menés au département de géographie de l’Université de Sherbrooke dans les années 1970. Ce retour sur le passé retrace les influences anglo-saxonnes qui ont marqué mon approche empirique des concepts d’espace social, de carte mentale et des images de la ville. Dans une première partie, je présenterai l’espace social de la ville de Sherbrooke tel que je le voyais, tout en soulignant l’usage que j’ai fait de l’analyse factorielle en géographie. La seconde partie portera sur la carte mentale de cette ville révélée par nos travaux et les liens qu’ils suggèrent entre structures mentales et formes urbaines. La troisième partie décrira les résultats de l’analyse sémiotique réalisée pour les bâtiments de service public identifiés dans la carte mentale. Finalement, j’expliquerai les bénéfices et les limites de ces approches en les replaçant dans l’avancement de la géographie sociale au Québec.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".