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Record W1857329740 · doi:10.4000/strates.6083

Montréal 1960, les ressorts d’une réidentification

2007· article· fr· W1857329740 on OpenAlexaboutno aff
André Lortie

Bibliographic record

VenueStrates · 2007
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

L’urbanisme et l’architecture des années 1960 ont souvent été décriés. Portés par un optimisme ravageur, il est vrai qu’ils ont laissé plus d’une ville éventrée, traversée de voies autoroutières, orpheline de quartiers populaires rénovés… À certains égards, Montréal n’échappe pas à la règle. Et, pourtant, si d’aucuns considèrent le legs de cette époque comme catastrophique, les mêmes s’accordent à lui reconnaître des qualités exceptionnelles, telles que son réseau sous-terrain de galeries commerciales, son métro, certains immeubles remarquables et la vitalité d’un centre ville où se côtoient actifs et résidents, classes sociales et cultures diverses. Et, force est de constater que les Montréalais s’identifient aujourd’hui autant à la ville populaire et historique qu’à celle, moderne, dont la structure et la forme ont été conçues dans les décennies après la seconde guerre mondiale. C’est à une interprétation de ce phénomène d’identification que cet article invite : quelle était la ville qui a été transformée ? Quels artefacts nouveaux l’ont remplacée ? Quelle réceptivité ont-ils connu, à Montréal et ailleurs dans le monde ? Ce sont ces questions, parmi d’autres, qui sont abordées en texte et en image.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.147
Threshold uncertainty score0.306

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0080.014
Scholarly communication0.0080.004
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0240.002

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.

Opus teacher head0.018
GPT teacher head0.251
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2007
Admission routes1
Has abstractyes

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