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Record W4240967347 · doi:10.32920/14638563.v1

Behaviour and Misbehaviour of Latino Children in a Time of Zero Tolerance: Mothers’ Views

2021· preprint· en· W4240967347 on OpenAlexaff
Judith K. Bernhard, Marlinda Freire, Luz Bascunan, Rodolfo Arenas, Nury Rugeles Verga, Daniel Gana

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsChildren's Aid SocietyUniversity of TorontoToronto Metropolitan University
Fundersnot available
KeywordsZero toleranceAggressionPsychologyDisciplineLegislationDevelopmental psychologyLatin AmericansSocial psychologyPerceptionCriminologySociologyPolitical scienceSocial scienceLaw

Abstract

fetched live from OpenAlex

Thirty-eight Latin American mothers with young children tell of their perceptions of school discipline and comportment issues and talk of their children’s encounters with ‘zero tolerance’ legislation, and related rules for conduct, implemented by the local school boards. The purpose of this exploratory study is to understand: (a) parents’ views of and concern about disciplinary practices at school; (b) parents’ ideas about the connection between home and school discipline; and (c) parents’ understanding of the officially prescribed consequences of behaviour identified as non-tolerable. Implications of the findings are discussed with regard to professional practice. Keywords: Latino parents; School regulations; Concepts of misbehaviour and aggression

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)0.004
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 score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.291
Teacher spread0.267 · 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
Published2021
Admission routes1
Has abstractyes

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