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Record W7067330933

La herencia de la época de oro en el cine mexicano de los años noventa : La ley de Herodes y Danzón

2010· other· fr· W7067330933 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2010
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Identity (music)Subject (documents)Criticism
DOInot available

Abstract

fetched live from OpenAlex

Notre mémoire cherche à identifier les traces du cinéma de “l’âge d’or” dans le cinéma mexicain des années quatre-vingt-dix. Au Mexique, l’apogée que le cinéma industriel a connu entre 1935 et 1955 a établi les principaux genres et normes du cinéma national. Le cinéma produit durant cette période, abondamment diffusé par la télévision et la vidéo et apprécié de la critique, continue d’influencer la production contemporaine. En concentrant notre analyse sur deux films en particulier, Danzón (1991) de María Novaro et La ley de Herodes (1999) de Luis Estrada, nous étudions d’une part, comment le cinéma des années quatre-vingt-dix rend hommage au cinéma de l’âge d’or et, d’autre part, comment on l’utilise pour commenter les nouvelles tendances dans la politique et la production culturelle. \n\tLa diffusion continue du cinéma de l’âge d’or nous permet d’expliquer en partie son influence sur les cinéastes mexicains contemporains. Par ailleurs, le contexte de néolibéralisme et de globalisation des années quatre-vingt-dix nous permet d’avancer d’autres hypothèses concernant les raisons qui ont amené ces cinéastes à récupérer des éléments de la culture “nationale-populaire”. Nous pensons que ce contexte pourrait expliquer autant l’hommage que la critique que font les films contemporains du cinéma de l’âge d’or. Notre analyse des références au cinéma de l’âge d’or dans le cinéma des années quatre-vingt-dix s’appuie sur la théorie de l’intertextualité dans le cinéma.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0060.005
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.002
GPT teacher head0.175
Teacher spread0.172 · 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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→French-language works237,207→