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Record W2900515634 · doi:10.21810/jicw.v1i2.654

An Acceptable Level of Violence: Assessing the Development of the British Government’s Security Approach to ‘The Troubles’ From 1969-79

2018· article· en· W2900515634 on OpenAlexvenueno aff
Jack McDonnell, Rory David McDonald Butcher

Bibliographic record

VenueThe Journal of Intelligence Conflict and Warfare · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsReactionaryCitizen journalismGuerrilla warfareGovernment (linguistics)Political sciencePublic administrationLawPolitical economyPoliticsSociology

Abstract

fetched live from OpenAlex

Those seeking to engage in warfare against organised governments in the 21st century are increasingly relying on such governments being unable to respond in an appropriate manner. The latter half of the 20th century in Northern Ireland is a perfect example of a ruling authority modifying its approach to the security issues it was confronted by throughout the conflict. “The Troubles”, as the three decades of guerrilla warfare has now become known, was dealt with by the British establishment through three specific policies – all of which saw changes implemented during the first ten years of the landmark conflict. These were: the implementation of Direct Rule, the so-called “Normalisation” of asymmetric warfare, and the reliance on the local paramilitaries over the British Army. All of these policies can be seen to have failed in particular ways, although careful examination shall explain the logic behind these shifts in British reactionary policy and their effects in the regions of the province of Ulster affected by the conflict. Being a very brief survey of this conflict, this paper does not address other policies enacted – nor does it encompass every aspect of the evidence available. It merely aims to act as an overview.

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)0.003
metaresearch head score (Gemma)0.013
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 score0.464
Threshold uncertainty score0.923

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0040.006
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.089
GPT teacher head0.352
Teacher spread0.263 · 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
Published2018
Admission routes1
Has abstractyes

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