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Record W2034057390 · doi:10.3390/socsci3040854

Who Owns Child Abuse?

2014· article· en· W2034057390 on OpenAlexaff
Gerald Cradock

Bibliographic record

VenueSocial Sciences · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHomicide, Infanticide, and Child Abuse
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPsychologyChild abuseDevelopmental psychologyMedical emergencyPoison controlSuicide preventionMedicine

Abstract

fetched live from OpenAlex

Expectations of contemporary child protection apparatuses are strongly influenced by beliefs inherited from the nineteenth century child rescue movement. In particular, the belief that child abuse determination is obvious. However, this assumption fails to make a distinction between nineteenth century’s emphasis on impoverished environments and the twentieth century introduction of the pathological child abuser. Moreover, the proliferation of kinds of child abuse, and the need to distinguish child abusers from non-abusers, means knowledge is now spread across an array of disciplines and professions, which necessarily destabilizes the definition of child abuse. The increasing exposure of alternate care systems as potentially abusive has similarly destabilized the old common sense solution to neglected children—namely removal. Finally, as uncertainty increases, and definitions become more divergent, the question of what child abuse is, and what should be done about it, becomes increasingly politicized.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.897
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.308
Teacher spread0.290 · 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 teacher head, not a consensus.

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

Citations9
Published2014
Admission routes1
Has abstractyes

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