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Fernand Dumont, ou la culture comme mémoire et comme horizon

2014· article· fr· W1583856130 on OpenAlexaboutno aff
Fernand Harvey

Bibliographic record

VenuePortuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyArtEthnologySociology

Abstract

fetched live from OpenAlex

Fernand Dumont (1927-1997), sociologue, philosophe, essayiste et poète, peut être considéré comme l’un des grands penseurs québécois de la seconde moitié du XXe siècle. Son influence a été considérable au cours des décennies qui ont suivi la Révolution tranquille au Québec. Dans cet article, l’accent est mis sur un aspect de cette œuvre à la fois riche et complexe : le rapport que Dumont établit entre la mémoire et l’horizon des sociétés dans le cadre de sa théorie générale de la culture. Comment se construisent les sociétés? Qu’est-ce qui leur donne une cohérence? Pour Dumont, le recours à l’histoire s’avère incontournable pour expliquer leur formation et leur caractère unique. Face à l’avenir qui demeure incertain, l’histoire rappelle qu’il y a toujours décision, incertitude, choix et interprétation. Ce recours au passé permet d’éclairer la crise de la culture engendrée par la modernité. Dans la seconde partie de cet article, Fernand Dumont analyse le passé et les perspectives d’avenir de la société québécoise à la lumière de sa théorie de la culture.

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)0.003
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 score0.792
Threshold uncertainty score0.418

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.011
Scholarly communication0.0070.005
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.142
GPT teacher head0.409
Teacher spread0.267 · 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
Published2014
Admission routes1
Has abstractyes

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