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Record W7042375368

Organizations, order, and peace: policing Northern Ireland in the aftermath of Brexit

2022· article· en· W7042375368 on OpenAlexaff

Bibliographic record

VenueResearch Portal (Queen's University Belfast) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPolicing Practices and Perceptions
Canadian institutionsQueen's University
Fundersnot available
KeywordsBrexitLiminalityNorthern irelandPoliticsTransformative learningAgency (philosophy)Identity (music)Commission
DOInot available

Abstract

fetched live from OpenAlex

Despite an extensive literature on security sector reform processes after conflict, there is little recognition that peacebuilding is an organisational, as well as a political endeavour (Murphy et al, 2018). This paper explores the experience of the Police Service of Northern Ireland, located within a long running ethno political conflict, and still unsettled in its organisational identity and history. While the past twenty years have seen enormous change in policing in Northern Ireland, the ‘new beginning to policing’ envisioned by the post agreement Independent Commission on Policing has not been fully realised (Ellison, 2007). Though significant aspects of the change have been successful, there remain serious and enduring challenges that suggest the organisation is still a significant distance from the original transformative aims (Murphy, 2019). The system change represented by Brexit has heightened political uncertainty and refocused attention on the ongoing security threat. All these factors raise both operational risk and challenges to inclusive policing. We argue that having embarked upon a process of change, the police in Northern Ireland are trapped in liminal space – unable to move forward to ‘ordinary’ policing and unsure how to respond to a renewed threat. The paper draws on data from seventy separate interviews with participants within the Northern Ireland policing sector, their advisors and other key stakeholders over a period of thirteen years (2002-2015). The research approach adopted was process based and longitudinal utilizing a single case study method, with a concern for explanatory analysis (Pettigrew 1990, Yin 1993, Yin 2003). Of the seventy interviews conducted, roughly two thirds were with individuals directly associated with the policing change process. The rest were representatives of NGOs, journalists, politically active participants and advisors, senior individuals associated the voluntary sector, academics or community relations and mediation professionals who had engaged with the organisation at different stages with the clear objective of creating lasting change (Dawson, 2003). Ellison, G. (2007). A Blueprint for Democratic Policing Anywhere in the World? Police Quarterly, 10(3), 243-269 Murphy, J., McDowell, S., Braniff, M. & Denyer, D. (2018), Managing contested spaces: Public managers, obscured mechanisms and the legacy of the past in Northern Ireland Environment and Planning C: Government and Policy. 36, 3 Murphy, J., (2017), Leading through Conflict and Change: Chief Constables in Northern Ireland, in Leading the Police: A History of Chief Constables. Stevenson, K., Cox, D. J. & Channing, I. (eds.). Routledge, (Routledge SOLON Explorations in Crime and Criminal Justice Histories).

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)0.008
metaresearch head score (Gemma)0.012
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 score0.130
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.012
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0170.027
Scholarly communication0.0140.009
Open science0.0020.013
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0050.001

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 head0.029
GPT teacher head0.334
Teacher spread0.305 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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