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Record W4405531729 · doi:10.4000/12yf4

L’activisme en communication dans la télénovela Órfãos da Terra

2024· article· fr· W4405531729 on OpenAlexvenueno aff
Laure Guillot Farneti

Bibliographic record

VenueCommunication · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Racism, and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Cet article propose d’analyser la télénovela brésilienne Orfãos da Terra à l’aune de la notion de la diversité. Première télénovela dont la thématique principale touche aux migrations contemporaines dans le pays, elle est diffusée entre le 27 avril et le 2 septembre 2019, soit durant le gouvernement d’extrême droite de Jair Bolsonaro (2019-2023). Écrite par Duca Rachid et Thelma Guedes et réalisée par Gustavo Fernández, elle met en scène le quotidien de personnes arrivées récemment de différents endroits du monde (Syrie, Congo RDC, Haïti, etc.) dans la ville de São Paulo et vivant dans un foyer d’accueil catholique. À travers une analyse sémio-discursive de plusieurs épisodes, cette étude propose de mettre en lumière les représentations des migrations construites au sein du feuilleton télévisé et les enjeux socio-politiques qui en ressortent, notamment sur les discours et les contre-discours de la diversité au Brésil

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)0.002
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: none
Teacher disagreement score0.044
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0080.015
Scholarly communication0.0050.004
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.000

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 head0.040
GPT teacher head0.332
Teacher spread0.292 · 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
Published2024
Admission routes1
Has abstractyes

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