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Record W2067921661 · doi:10.1002/jhbs.20329

The Michael‐Adler report (1933): Criminology under the microscope

2008· article· en· W2067921661 on OpenAlexaff
Colin Goff, Gilbert Geis

Bibliographic record

VenueJournal of the History of the Behavioral Sciences · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCrime Patterns and Interventions
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsCriminologyCriminal justiceField (mathematics)SociologyCriminal behaviorPsychology

Abstract

fetched live from OpenAlex

This paper details the responses made by social scientists as well as criminal justice practitioners during 1932 to a study focusing on the status of criminology by the Bureau of Social Hygiene. These responses ultimately led to the publication of the controversial Crime, Law and Social Science (1933), which gave much-needed direction to the development of criminology. Despite the importance of these responses to the creation of criminological thought, only one (by Edwin H. Sutherland) has previously been published. Examining the responses of all of the individual participants in the project gives a clearer picture of controversies and changes which ultimately occurred as the field of criminology gradually became institutionalized as an academic discipline.

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)0.004
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.018
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0060.007
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0060.001

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 head0.287
GPT teacher head0.403
Teacher spread0.116 · 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.

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

Citations19
Published2008
Admission routes1
Has abstractyes

Explore more

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