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Record W4210818221 · doi:10.1177/09646639221076089

External Intimacy: Community-based Intervention Concerning Crime and the Integral State in Quebec

2022· article· en· W4210818221 on OpenAlexfundaboutno aff
Eduardo González Castillo

Bibliographic record

VenueSocial & Legal Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicMarxism and Critical Theory
Canadian institutionsnot available
FundersUniversity of Ottawa
KeywordsCivil societySociologyPoliticsState (computer science)HegemonyAutonomyGovernment (linguistics)Intervention (counseling)BoroughLawCriminologyPublic administrationPolitical sciencePsychology

Abstract

fetched live from OpenAlex

This article deals with the contradictory way in which community-based intervention concerning crime relates to political domination and to the institutions of the State in Quebec, Canada by exploring the pertinence of the Gramscian conception of civil society. Surprisingly, although Antonio Gramsci offers an interesting set of concepts for the study of the relationship between civil society and government institutions, his ideas have rarely been used to understand community intervention in general and that related to public security in particular. Gramscian concepts such as civil society, political society, hegemony, and the integral State strike us as particularly useful in this regard. In our opinion, they offer a much more comprehensive view of the current relationship between community action (civil society) and the criminal justice system (the government) than narratives that insist on the alleged autonomy of civil society and on the weakening of the State. To show the utility of these concepts, we used them to understand community tensions related to racially discriminatory practices by police officers in the multiethnic borough of Montréal-Nord in Montreal.

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)0.002
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 score0.079
Threshold uncertainty score0.570

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.024
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.065
GPT teacher head0.317
Teacher spread0.252 · 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
Published2022
Admission routes2
Has abstractyes

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