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Record W3093432877 · doi:10.22329/csw.v21i2.6459

Immigrant Latino Fathers’ Perceptions of Child Abuse and Neglect

2020· article· en· W3093432877 on OpenAlexvenueno aff
Hermeet K. Kohli, Susan Fineran

Bibliographic record

VenueCritical Social Work · 2020
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsNeglectImmigrationMainstreamAgency (philosophy)DistrustPsychologyCoping (psychology)Qualitative researchPolitical scienceSociologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

The objective of this qualitative research was to study the lived experiences of child abuse and neglect for immigrant Latino fathers whose children are involved in the child protection process. We documented the narratives of nine immigrant Latino fathers attending fatherhood groups regarding their perceptions of child abuse and neglect.The immigrant Latino fathers highlighted their lack of agency and marginalization due to acculturative parenting stress, structural discrimination, and immigration status. They are burdened with physical and emotional pain that diffuses into their children’s lives and results in unhealthy coping strategies. The Latino fathers faced everyday microaggressions, racial abuses, and discrimination due to their agency and role as Latino immigrants. They chronicled their frustrations dueto distrust of the mainstream social service providers, police, immigration officials, and abuse meted on them due to their marginalized identities. We provide practice and policy recommendations for professionals working with immigrant Latino families.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

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 studies0.0050.003
Scholarly communication0.0020.001
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.309
Teacher spread0.284 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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