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Record W2910065070

자비에 돌란 Xavier Dolan의 , 에 나타난 탈정체성의 공간화

2017· article· ko· W2910065070 on OpenAlexaboutno aff
이송이

Bibliographic record

Venue프랑스 문화연구 · 2017
Typearticle
Languageko
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtMovie theaterEthnologyArt historySociology
DOInot available

Abstract

fetched live from OpenAlex

Jeune prodige du cinema quebecois, Xavier Dolan presente toujours des films incontournables au sein du cinema quebecois. Ses oeuvres montrent ainsi le portrait d’une place particuliere et originale dans l''histoire du cinema quebecois. Dans Laurence Anyways et Tom a la ferme, les limites entre l’espace social et celui de l''intime deviennent floues. Ces deux films permettent aux spectateurs de percevoir l''imaginaire comme le seul cadre ayant le pouvoir de definir les lieux. Les personnages circulent d’un endroit a un autre sans appartenance particuliere comme si les lieux ne les influencaient en aucune facon. Chez Dolan, la trajectoire identitaire des heros revele souvent le lien etroit avec cette liberte concernant la spatialisation. Liberes des cadres traditionels spatiaux, les protagonistes confirment leur identite a l’ecart de la loi traditionnelle occidentale. Ce probleme identitaire illustre d''une certaine maniere la question identitaire de la nationalite quebecoise. En raison des communautes exterieures qui le composent, le Quebec se transforme aujourd''hui comme une societe davantage ouverte et advantage tendue vers la communication. Construits sur la diversite et l’universel, les images et les discours dans Laurence Anyways et Tom a la ferme paraissent en rupture avec le nationalisme bien marque du cinema quebecois traditionnel. Si le film etait considere comme un miroir de la societe, les oeuvres cinematograpiques dolaniennes pourraient representer un miroir apatride du Quebec. Original par rapport a ses predecesseurs, Dolan interroge la veritable identite quebecoise via sa propre esthetique cinematographique. Ses films ouvrent des perspectives entre le Meme et l’''Autre en recusant des definitions identitaires fermees.

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: Empirical · Consensus signal: none
Teacher disagreement score0.222
Threshold uncertainty score0.446

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.002
Scholarly communication0.0050.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0300.003

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 head0.022
GPT teacher head0.273
Teacher spread0.251 · 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
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
Published2017
Admission routes1
Has abstractyes

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