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Record W2094138005 · doi:10.1177/1081180x01006001006

Megaphone Diplomacy in the Northern Irish Peace Process

2001· article· en· W2094138005 on OpenAlexaff
Kirsten Sparre

Bibliographic record

VenueHarvard International Journal of Press/Politics · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Relations and Crisis Communication
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsIrishMainstreamDiplomacyNegotiationPoliticsPolitical scienceWork (physics)Process (computing)Media studiesPolitical economyPublic relationsSociologyLawEngineering

Abstract

fetched live from OpenAlex

In early 1994, British and Irish mainstream media were instrumental in facilitating an indirect dialogue between their governments and the Irish Republican movement about the terms on which Sinn Fein, the political wing of the Irish Republican Army, could be admitted into political talks. This article provides evidence of this practice (labeled “megaphone diplomacy”), shows how it works, and discusses the advantages of using such a channel during delicate negotiations. Interviews with journalists working in Northern Ireland show that the channel can work without the active awareness of journalists, but also that it is possible for journalists to strengthen the process and yet stay within the journalistic paradigm. The article concludes with an assessment of the contributions of the media dialogue to the wider peace process.

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)0.010
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: none
Teacher disagreement score0.016
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0130.015
Scholarly communication0.0160.007
Open science0.0010.014
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.002

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 head0.037
GPT teacher head0.372
Teacher spread0.335 · 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

Citations12
Published2001
Admission routes1
Has abstractyes

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