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Record W4402948570 · doi:10.1177/17506980241270857

Media memory activism in post-conflict Bosnia-Herzegovina

2024· article· en· W4402948570 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

VenueMemory Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicBalkans: History, Politics, Society
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCollective memoryPolitical scienceBosnia herzegovinaGender studiesCriminologySociologyPolitical economyLawEthnology

Abstract

fetched live from OpenAlex

Taking Bosnia-Herzegovina as a case study, this article examines how memory activists, acting at the meso-level, use digital media to implement various counter-memory strategies in relation to the war of 1992–1995. A variety of practices at the margins of official historical discourses, which are still dominated by victimization and hatred, are examined and examples from both the literature and original empirical data are used to show how, in an extremely tense political climate, memory activists can use diverse strategies and tools to allow new representations of the past to circulate, bringing about mnemonic change. I suggest that memory activists in BiH, although operating in a public sphere governed by ethnonationalist divisions and political parallelism, use digital media as an arena, space, or repository for counter-memory narratives. Supported by thematic analysis, this interdisciplinary research paper responds to a need for contemporary empirical research on media memory activism and opens new perspectives for future interdisciplinary studies of these issues in other divided societies.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
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 head0.067
GPT teacher head0.359
Teacher spread0.292 · 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