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Record W4284665074 · doi:10.4000/paysage.27715

Histoire de la formation en architecture de paysage à l’Université de Montréal

2022· article· fr· W4284665074 on OpenAlexaboutno aff
Nicole Valois, Ron Williams

Bibliographic record

VenueProjets de paysage · 2022
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Depuis plus d’un demi-siècle, l’École d’architecture de paysage de l’Université de Montréal (UdeM) offre l’un des principaux programmes de formation en architecture de paysage au Canada. Comme seule école francophone en Amérique, elle a accueilli et formé plusieurs générations de professeurs et professionnels qui ont marqué l’histoire de l’aménagement au Québec et au Canada. L’article raconte l’histoire de cette institution pour laquelle les archives de l’UdeM ont été analysées et des entretiens avec six enseignants-chercheurs de la première génération ont été réalisés. L’entreprise a permis de saisir les moments importants de l’École et de percevoir les linéaments historiques de ses programmes et de ses contributions académiques. Créée dans la vague progressiste du Québec des années 1960 et des grands mouvements sociaux et écologiques de cette période, l’École a connu plusieurs transformations profondes pendant ces cinq décennies en s’adaptant continuellement aux enjeux renouvelés du paysage et de la profession. Le récit qui suit en donne un éclairage unique et constitue, espérons-nous, la charpente d’une trame narrative à poursuivre.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.863
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0090.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.007
GPT teacher head0.187
Teacher spread0.179 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

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