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Record W2809158450

Le Québec cyclable : Guide des pistes cyclables Ed. 11

2014· book· fr· W2809158450 on OpenAlexaboutno aff
Collectif Collectif

Bibliographic record

VenueUlysse (Guides de voyage) eBooks · 2014
Typebook
Languagefr
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

Le guide Le Quebec cyclable de la collection «Espaces verts» d’Ulysse s'adresse a tous les amoureux du grand air et du velo! Concu pour les cyclistes friands de balades d'une journee, il vous emmene sur des parcours balises et securitaires. Qu'ils empruntent des pistes cyclables municipales ou intermunicipales, des voies regionales ou interregionales, ces parcours vous inciteront a partir a la decouverte de regions inconnues et reveilleront ainsi l'aventurier qui sommeille en vous. Vous trouverez dans ce guide 167 cartes detaillees, avec traces de voies cyclables particulierement agreables, les distances a parcourir, l'emplacement des stationnements, les bureaux d'information touristique et les attraits faciles d'acces. Le livre debute par une section consacree a la preparation de vos excursions a velo. Il propose des circuits regionaux presentes de facon a faciliter les raccordements avec les voies cyclables qui sillonnent l'interieur des villes. De Montreal a la Cote-Nord et de Quebec a la Gaspesie, c’est toute la Belle Province qui s’offre a vous, pour le plaisir des sens et la liberte du mouvement... sur deux roues!

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.302
Threshold uncertainty score0.996

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0050.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.3020.121

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 head0.022
GPT teacher head0.274
Teacher spread0.252 · 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.

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
Published2014
Admission routes1
Has abstractyes

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