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Record W3127250697

Des intimités publiques : entre (dés)orientation et réorientation de l’intime dans les talk-shows postinsurrectionnels tunisiens

2020· article· fr· W3127250697 on OpenAlexaff
Maissa Ben Jelloul

Bibliographic record

VenueCommposite · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical and Social Issues
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Cet article questionne les manieres dont les intimites tunisiennes sont affectees par les emissions de talk-shows tunisiens. S’inscrivant dans les critical intimacy studies, il apprehende l’intimite comme une impression qui a lieu au moment ou un corps s’oriente vers d’autres corps ou objets. Les talk-shows tunisiens, qui sont souvent des adaptations d’emissions occidentales, mettent en visibilite et en discours les intimites. Je suggere qu’ils negocient les normes de l’intime, (1) defiant des discours normatifs qui appellent au voilement de l’intime et du peche et (2) jouant un role d’orientation, de desorientation et de reorientation – dirigeant les corps de maniere a ce que d’autres corps et objets soient (ou non) a leurs portees. A travers les extraits mentionnes dans ce texte, je montre comment ces emissions poussent leurs auditoires ainsi que leurs participantes et participants a s’aligner avec les normes locales a travers des discussions sur les intimites « aberrantes ». En meme temps, elles offrent des ressources aux personnes desorientees.

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)0.005
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.042
GPT teacher head0.332
Teacher spread0.290 · 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
Published2020
Admission routes1
Has abstractyes

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