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Record W4236747323 · doi:10.21992/t9d62t

Le Bureau : Le nouveau mockumentaire d’entreprise francais(e) en question?

2009· article· fr· W4236747323 on OpenAlexaffvenue
Cris Reyns-Chikuma

Bibliographic record

VenueTranscUlturAl A Journal of Translation and Cultural Studies · 2009
Typearticle
Languagefr
FieldBusiness, Management and Accounting
TopicManagement and Organizational Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHumanitiesFrenchCapitalismPolitical scienceArtSociologyLaw

Abstract

fetched live from OpenAlex

In this essay, I show how Le Bureau (2006), a business fiction adapted from the British TV series The Office (2001-2003), maintained its originality by being in line with diverse traditions both French and trans-national. However, while addressing with a satirical tone some problems that are either global (like some issues related to the “new spirit of capitalism”) or typically French (such as the resistance to a concrete application of anti-discriminatory measures on the workplace), the critical impact of this mockumentary seems limited by the fact that it is framed within TV programs and especially Canal+’s entertainment “philosophy.” Dans cet essai, je montre comment la fiction d’affaires Le Bureau (2006), adaptation française de la série télévisée britannique The Office (2001-2003), a réussi à maintenir une certaine originalité en s’inscrivant dans diverses traditions artistiques à la fois françaises (documentaire), trans-nationales (mockumentaire) et trans-culturelles (la sitcom), tout en adressant de manière humoristique et critique certains problèmes globaux, comme «le nouvel esprit du capitalisme» et d’autres plus typiquement français (comme la résistance à appliquer des mesures anti-discriminatoires concrètes sur les lieux de travail). Cependant, le fait que ce mockumentaire fut fait pour la télévision et plus spécifiquement pour Canal+ (qui est une chaîne d’abord divertissante) limite sa fonction et son impact critique.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.882
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.272
Teacher spread0.249 · 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 teacher head, not a consensus.

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

Citations2
Published2009
Admission routes2
Has abstractyes

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