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Record W4392259925

The entrance of the African and Caribbean writers in the French-speaking literary system : the works of Alain Mabanckou and Dany Laferrière in the literary fields French and from Quebec

2012· preprint· fr· W4392259925 on OpenAlexaboutno aff
Gaël Ndombi - Sow

Bibliographic record

Venuetheses.fr (ABES) · 2012
Typepreprint
Languagefr
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsLiteratureArtArt historyHistory
DOInot available

Abstract

fetched live from OpenAlex

S'il est admis que la théorie du champ, systématisée par Pierre Bourdieu, a permis de renouveler l?approche du phénomène littéraire, son application au domaine des études francophones reste limitée. Cette étude examine les conditions d'accès aux champs littéraires français et québécois par les écrivains d'origine africaine et caribéenne. La thèse procède à une approche sociologique - l'analyse s'appuyant sur l'examen des trajectoires individuelles, de la poétique des oeuvres et des stratégies de communication des auteurs - des conditions d'accès à l'écriture, à la publication, à la socialisation littéraire et à la consécration dans chacun des champs de réception, c'est-à-dire la politique d'accueil des instances légitimantes et la place réservée à ces écritures migrantes. Une option essentielle a consisté à aborder des écrivains dont le statut et l'audience sont déjà affirmés sur la scène littéraire francophone. Pour cela, le corpus est constitué de deux écrivains indiscutablement reconnus : l'un, Alain Mabanckou, surtout présent dans le champ français ; l'autre, Dany Laferrière, surtout consacré dans le champ québécois. La comparaison entre les champs français et québécois a abouti à une nouvelle conception des phénomènes d'entrance, en faisant ressortir les positions, les postures et les stratégies d'écriture déployées.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.002
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 head0.011
GPT teacher head0.194
Teacher spread0.184 · 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 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
Published2012
Admission routes1
Has abstractyes

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