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Record W4250164350 · doi:10.15353/cgjsc-rcessc.v1i1.21

An Arranged Marriage: Police - Media Conflict & Collaboration

2012· article· en· W4250164350 on OpenAlexaffvenueabout
Robert Chrismas

Bibliographic record

VenueCanadian Graduate Journal of Sociology and Criminology · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicTerrorism, Counterterrorism, and Political Violence
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCriminologyPolitical scienceSociology

Abstract

fetched live from OpenAlex

Media and police professionals are bound together in interdependent, and often tense, working relationships. For different purposes both professions need to work effectively together while simultaneously retaining independence from each other. These complex inter-reliant relationships create unique challenges that often call for improvement. This essay examines whether relationships between interdependent professional organizations can be improved through a collaborative problem-solving intervention, based on the interactive methods of facilitated dialogue and appreciative inquiry. The article describes a case study of a large Canadian police agency working with local media outlets to improve their working relationship. It highlights the importance of conflict analysis followed by effective change management strategies in implementation of collaborative solutions that meet everyone's needs. This case study illustrates dynamics that generalize to organizations that have strong organizational cultures and are highly independent and simultaneously required to work together. Some examples of such organizations are military, prison guards, scholars, medical professionals, social workers, teachers, lawyers and most government agencies.

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 score0.217
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.174
GPT teacher head0.378
Teacher spread0.203 · 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

Citations0
Published2012
Admission routes3
Has abstractyes

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