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Record W2767927548 · doi:10.4000/books.pum.3333

Chapitre 7. Planification et participation à Vancouver

2016· book-chapter· fr· W2767927548 on OpenAlexaboutno aff
Ève Arcand, Emmanuel Brunet‐Jailly

Bibliographic record

VenuePresses de l’Université de Montréal eBooks · 2016
Typebook-chapter
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

La mondialisation affecte de manière irréversible les régions urbaines et contribue à la remise en question de l’État ; les villes sont considérées comme des lieux de production et de création de richesses. Ces changements contribuent aux débats sur les meilleurs modes de gouvernement aux niveaux local et régional. Bien que les régions urbaines prennent des formes variées, la littérature sur les grandes villes étudie ces changements autour de thèmes tels que la disparition de zones naturelles, la croissance des réseaux de transport et l’augmentation des inégalités sociales, mais elle les décrit aussi comme des espaces démocratiques, où l’engagement civique et la solidarité sont importants. Ce chapitre relate comment, au cours des quinze dernières années, la méfiance du gouvernement a sapé les tentatives locales et régionales de coordination et de collaboration, et a permis à la province d’influer en profondeur sur la régie régionale de la planification, des transports et du logement.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.504
Threshold uncertainty score0.986

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.003
Scholarly communication0.0070.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0230.003

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 head0.021
GPT teacher head0.232
Teacher spread0.211 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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