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Record W6899210570 · doi:10.58079/13fk

Paysages du mouvement / paysages en mouvement

2019· other· fr· W6899210570 on OpenAlexaboutno aff

Bibliographic record

VenueOpenEdition (OpenEdition) · 2019
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPower (physics)Independence (probability theory)National integrationPolitics

Abstract

fetched live from OpenAlex

Les 25 et 26 octobre prochain se tiendra à Montréal un événement sur le patrimoine des voies anciennes, terrestres ou fluviales qu’il ne faut pas manquer ! Les vieux chemins et les voies navigables historiques ont, au Québec, un vaste pouvoir évocateur. Les emprunter nous transporte, semble-t-il, dans un autre temps. Pourtant, malgré la place qu’ils occupent dans notre mémoire, on en connaît fort peu à leur propos, qu’il s’agisse de les définir comme objets patrimoniaux ou encore de caractériser leur apport au paysage. C’est pourquoi les journées d’échange, se veulent un moment de réflexion partagée entre chercheur·e·s universitaires, professionnel·le·s du patrimoine ainsi qu’acteurs/trices du patrimoine et de l’histoire locale. Elles seront l’occasion de faire le point sur les connaissances et projets, de dégager des pistes de recherche et de valorisation ainsi que de paver la voie à des collaborations éventuelles.

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)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.836
Threshold uncertainty score0.379

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.002
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1130.011

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 head0.012
GPT teacher head0.235
Teacher spread0.223 · 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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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