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Record W2971455737

Balades à vélo à Montréal

2010· book· fr· W2971455737 on OpenAlexaboutno aff
Gabriel Béland

Bibliographic record

VenueUlysse (Guides de voyage) eBooks · 2010
Typebook
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt
DOInot available

Abstract

fetched live from OpenAlex

Le guide Balades a velo a Montreal presente une vingtaine de balades thematiques sur deux roues pour decouvrir les differents visages de Montreal. D’une duree allant de deux heures a une journee complete, elles vous meneront dans de nombreux quartiers de la ville ou dans les environs de Montreal, mais toujours avec acces et sortie de l’ile en velo. Plusieurs des balades proposees peuvent s'effectuer en Bixi, ce velo disponible en libre-service dans 400 stations reparties dans differents quartiers montrealais. Montreal est une ville ideale a decouvrir en velo, et la culture de la bicyclette s’y developpe de plus en plus. Que vous soyez un cycliste debutant ou aguerri, un inconditionnel du velo ou un randonneur du dimanche, ce guide vous fera decouvrir Montreal sous des points de vue originaux et vous fera sortir des sentiers battus, mais aussi des pistes cyclables. Balades patrimoniales ou resolument urbaines, balades contemplatives ou plus sportives, dans tous les cas vous gouterez au charme et a l’art de vivre montrealais, guidon bien en main. Et pas question de course contre la montre! Le guide Balades a velo a Montreal propose des suggestions d’arrets gourmands et champetres tout le long des parcours, sans oublier la description des attraits et autres points d’interet a ne pas manquer en cours de route. Chaque circuit est egalement accompagne d’une carte et d’indications claires pour vous reperer facilement.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.702
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0030.006
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.032
GPT teacher head0.249
Teacher spread0.216 · 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; both teacher heads agree on what is shown here.

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
Published2010
Admission routes1
Has abstractyes

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