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Record W4388779783 · doi:10.1515/9781552384299

Policing the Wild North-West

2007· book· en· W4388779783 on OpenAlexaboutno aff
Zhiqiu Lin

Bibliographic record

VenueUniversity of Calgary Press eBooks · 2007
Typebook
Languageen
FieldEnvironmental Science
TopicWildlife Conservation and Criminology Analyses
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyArchaeology

Abstract

fetched live from OpenAlex

In Policing the Wild North-West: A Sociological Study of the Provincial Police in Alberta and Saskatchewan, 1905-32, the first comprehensive social history of provincial police in western Canada between 1905 and 1932, Zhiqiu Lin investigates the complex relationship between the role of policing, the political sphere, and social progress. This book attempts to analyze the effects on provincial police in Alberta and Saskatchewan of various social phenomena ranging from political radicals and vagrants to prohibition bootleggers and black market profiteers. These factors placed enormous demands on the development of policing and had a significant impact on three specific and interrelated areas: first, the professionalization of police organizations within society, as evidenced by changes in policing technology, varying political agendas, and, perhaps most importantly, within the police organizations themselves; second, the shifting of focus away from the "dangerous classes" and social agitators towards investigative procedures required for solving serious crime; and finally, the impact of policing on the rates of crime as influenced by the role of police officers as agents of social change and the value of social service in strengthening community and reducing the motivation towards criminal activity. The book concludes with an examination of the transition between federal and provincial responsibilities for policing in the two provinces, the reasons for the disbandment of the provincial police forces, and the broader issues of police development and the rationalization of policing in modern society.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.319
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.034
GPT teacher head0.211
Teacher spread0.177 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations2
Published2007
Admission routes1
Has abstractyes

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