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Record W3014317314 · doi:10.1590/198053146943

CRIANÇAS EM SITUAÇÃO DE IMIGRAÇÃO NA ESCOLA PÚBLICA: PERCEPÇÕES DE DOCENTES

2020· article· pt· W3014317314 on OpenAlexaff
Kelly Russo, Leila de Carvalho Mendes, Corina Borri-Anadòn

Bibliographic record

VenueCadernos de Pesquisa · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicMigration, Racism, and Human Rights
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsSociologyPedagogyPhilosophyHumanities

Abstract

fetched live from OpenAlex

Resumo Este artigo apresenta uma pesquisa qualitativa sobre as percepções de docentes a respeito de crianças em situação de imigração ou de refúgio na escola pública, baseada na perspectiva crítica de educação intercultural e na concepção histórico-cultural. Foram realizadas entrevistas entre 2018 e 2019 com dez professores do Ensino Fundamental I de uma escola municipal de Duque de Caxias, Rio de Janeiro, com mais de doze anos de experiência na educação básica e que tiveram, em suas turmas, crianças congolesas ou angolanas. Identificamos que a presença de crianças em situação de imigração, que inicialmente se poderia constituir em um elemento dificultador para o processo de ensino-aprendizagem, tem sido um motor para novas reflexões sobre diferenças, desigualdades, preconceitos e discriminação no espaço escolar.

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)0.005
metaresearch head score (Gemma)0.014
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 score0.042
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.007
Scholarly communication0.0050.003
Open science0.0010.006
Research integrity0.0010.002
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 head0.054
GPT teacher head0.314
Teacher spread0.261 · 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

Citations14
Published2020
Admission routes1
Has abstractyes

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