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Record W4388718654 · doi:10.1177/20662203231212600

Leadership in Canadian and French high security prisons expectations and perceptions

2023· article· en· W4388718654 on OpenAlexaffabout
Martine Herzog-Evans, Rosemary Ricciardelli, Jérôme Thomas

Bibliographic record

VenueEuropean Journal of Probation · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsPrisonAutonomyCompetence (human resources)LegitimacyManagerialismSociologyTransactional analysisDignityProcedural justiceTransactional leadershipPublic relationsPerceptionSocial psychologyPsychologyCriminologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The literature has yet to study the ideal type of prison leadership in the eyes of frontline staff. Methodologically, most studies draw upon written questionnaires distributed to governors, not to their staff and analyse their data without using management or human needs theories. This study contrasts with the extant literature inasmuch as it is comparative (France/Canada) and draws upon Appreciative Inquiry interviews. It also draws upon three strands of literature and their variables: the general theory of management, self-determination theory and legitimacy of justice-procedural justice theories. The study finds that French and Canadian prison officers have needs in areas uncovered in this literature: competence, relatedness, autonomy, general fairness, respect/dignity and care. Our samples have mixed feelings about their local hierarchy; they are very critical regarding their national hierarchies. Prison officers describe their managers as being essentially either laissez-faire or as transactional. Limitations and institutional policy implications are explored.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.633
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.065
GPT teacher head0.295
Teacher spread0.230 · 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.

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

Citations1
Published2023
Admission routes2
Has abstractyes

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