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Record W2052281760 · doi:10.1080/1070289x.2014.956746

Visual and textual narratives of conflict-related displacement in Northern Ireland

2014· article· en· W2052281760 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIdentities · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsNarrativeDisadvantagePoliticsDisplacement (psychology)SociologyDisplaced personSocial psychologyAestheticsGender studiesPolitical sciencePsychologyArtRefugeeLawLiteraturePsychoanalysis

Abstract

fetched live from OpenAlex

Combined textual and visual narratives and counternarratives illustrate a range of experiences in Northern Ireland’s conflictual, spatial landscape. In this article, I argue that combined textual and visual narratives about conflict-instigated displacement create and articulate community-specific experiences of disadvantage, with the intention of gaining political recognition and/or advantage over other communities in ongoing processes of conflict transformation. I expose the multiple, contextualised meanings of selective narratives that are accessible in language and image but, that are rarely questioned because of the political influence of their tellers or, because of their scale. Their meanings and intentions exist alongside counternarratives about intra-community displacement and displacement against other groups and are concurrent with public apathy, which serve to minimise their effectiveness as political tools to gain community-specific, social and political advantage. These narratives and counternarratives persist as key spatial markers and as sites on which conflict, and its effective transformation, are played out.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score0.980

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 science0.0000.000
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 head0.009
GPT teacher head0.289
Teacher spread0.280 · 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