Apprendre à regarder la ville dans l’obscurité : les « entre-deux » du paysage urbain nocturne
Bibliographic record
Abstract
Entre deux univers, de lumière et de ténèbres, l’éclaireur décide de ce que l’on éclaire ou de ce qu’on laisse dans l’ombre. Souvent opposée au jour, la nuit est ancrée dans une opposition qui nous a longtemps fait nier son existence. Dans un contexte d’expansion de la lumière artificielle et d’interrogation de la qualité des cadres de vie urbains, peut-on encore fermer les yeux sur la nuit ? Dans le cadre d’une plus vaste recherche sur le paysage montréalais nocturne, nous présentons une recension des approches et des questionnements sur la manière dont nous regardons et planifions la ville la nuit pour dévoiler les enjeux de paysages encore méconnus.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.016 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".