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Record W2067992515 · doi:10.7202/201581ar

Fernand Dumont face à la culture populaire. Écriture de la nostalgie et usages socioculturels

2006· article· fr· W2067992515 on OpenAlexvenueno aff
Hans-Jürgen Lűsebrink

Bibliographic record

VenueVoix et Images · 2006
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Urban and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPhilosophy

Abstract

fetched live from OpenAlex

Cet article propose une lecture du double rapport qu'entretient Fernand Dumont avec la culture populaire et la culture savante. Son regard à la fois personnel et scientifique semble opposer la chaleur d'une relation personnelle et le regard froid du chercheur, la nostalgie passionnée d'un univers riche mais perdu à jamais et la froideur d'un discours scientifique penché sur les transformations inévitables, puisque universelles, du monde culturel moderne et de ses pratiques et modes de communication culturels. Dumont décrit ses rapports avec la culture populaire en termes apparemment contradictoires : il parle de « déchirement » et de « nostalgie », termes se référant à des rapports émotionnels; mais aussi de « mise à distance », ce qui implique un rapport refroidi, distancié, un regard analytique porté sur l'objet, sa culture d'origine, ses modes de communication et ses relations de sociabilité. Cette originalité réside dans une conceptualisation théorique qui allie, de manière heureuse, des perspectives sociologiques, anthropologiques et littéraires.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.161
Threshold uncertainty score0.321

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0110.013
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.018
GPT teacher head0.304
Teacher spread0.285 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2006
Admission routes1
Has abstractyes

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