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Record W2804449167 · doi:10.7202/1045170ar

Mémoire présenté dans le cadre de la consultation publique sur le renouvellement de la politique culturelle du Québec

2018· article· fr· W2804449167 on OpenAlexvenueaboutno aff
Marc Pelchat

Bibliographic record

VenueArchives · 2018
Typearticle
Languagefr
FieldArts and Humanities
TopicCultural Heritage Management and Preservation
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

S’appuyant sur une brève rétrospective, le mémoire de l’Église catholique de Québec insiste d’abord, dans la première de ses neuf recommandations, sur la nécessité de l’intégration explicite du patrimoine religieux à la politique culturelle. Il aborde ensuite le rôle de l’état et des collectivités dans la protection, la conservation et la mise en valeur de ce patrimoine archivistique, mobilier et immobilier aussi bien qu’immatériel, insistant sur la faiblesse des moyens et des ressources qu’on y consacre. Après un bref chapitre sur le développement des programmes de sensibilisation et de formation au patrimoine religieux, le mémoire revient sur l’épineuse question des mesures financières à développer ou à créer, tout en reconnaissant les apports financiers de source gouvernementale déjà affectés à la conservation du patrimoine immobilier paroissial. Le mémoire se conclue en rappelant que le patrimoine religieux est un précieux héritage pour le futur, que les églises sont des lieux porteurs d’histoire aussi bien que symboles identitaires et que l’Église catholique de Québec ne peut conserver et valoriser ce riche patrimoine seule, sans aide.

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)0.006
metaresearch head score (Gemma)0.010
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: none
Teacher disagreement score0.935
Threshold uncertainty score0.473

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0130.004
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0220.001

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 head0.020
GPT teacher head0.231
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

Citations1
Published2018
Admission routes2
Has abstractyes

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