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Record W7119639124 · doi:10.35501/dissol.vi16.1070

LINGUAGEM, BAKHTIN E VIOLÊNCIA SEXUAL INFANTIL EM COMUNIDADES INDÍGENAS DA COLÚMBIA BRITÂNICA NO CANADÁ

2023· other· pt· W7119639124 on OpenAlexaboutno aff
Letícia Gabriella Souza da Silva

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2023
Typeother
Languagept
Field
Topic
Canadian institutionsnot available
FundersUniversidade Federal do Rio Grande do NorteConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsDialogical selfIdentity (music)IndigenousConstruct (python library)Field (mathematics)Theme (computing)Discourse analysisSexual identity

Abstract

fetched live from OpenAlex

This research problematizes the use of language in the identity construction of subjects of law who construct discursive practices on the theme of child sexual exploitation in indigenous communities of Victoria, British Columbia, Canada. On a qualitative and interpretative basis, this investigation turns to the categories of dialogism and verb-ideological forces, based on the Bakhtin Circle. Child sexual violence in indigenous communities is investigated based on discursive interactions in focus and analysis of dialogical relationships, through dialogical discourse analysis (DDA). It is concluded that i) danger and ii) the importance of verbo-ideological forces and dialogism are presented to the extent that the discursive arena of British Columbia is a space of identity disputes that reverberate in the field of rights and guarantees.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.302

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0120.008
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.025
GPT teacher head0.262
Teacher spread0.238 · 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
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
Published2023
Admission routes1
Has abstractyes

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