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Record W4399218455 · doi:10.18192/rceh.v46i1.6886

The Teacher’s Rhetoric of Liberal Democracy and Minori'ethage in La patota (Argentina, 2015): An Open Decolonial Debate

2024· article· en· W4399218455 on OpenAlexaffvenue
Ana María Fernández

Bibliographic record

VenueRevista Canadiense de Estudios Hispánicos · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American Cultural Politics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRhetoricDemocracyPolitical scienceSociologyGender studiesArtPhilosophyTheologyLawPolitics

Abstract

fetched live from OpenAlex

La patota (Argentina, 2015) recreates the experience of Paulina, a young lawyer who participates in a civics program in a rural school next to Posadas (Misiones). As in the plot of the original 60s film, the lawyer-teacher is raped by a gang (patota), of which some of her students are a part. She becomes pregnant and decides not to have an abortion. Based on the modernity/coloniality perspective, this socio-critical study applies the neologism “minori'ethage” to disarticulate the way in which the 2015 remake problematizes five centuries of coloniality and highlights the patriarchal environment in which everybody got trapped, underscoring the dangers of “playing fake democracy.”

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)0.003
metaresearch head score (Gemma)0.004
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0120.023
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.330
Teacher spread0.309 · 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
Published2024
Admission routes2
Has abstractyes

Explore more

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