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Record W2312784693 · doi:10.1177/1750698011415247

‘Monument to the international community, from the grateful citizens of Sarajevo’: Dark humour as counter-memory in post-conflict Bosnia-Herzegovina

2011· article· en· W2312784693 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMemory Studies · 2011
Typearticle
Languageen
FieldPsychology
TopicHumor Studies and Applications
Canadian institutionsSaint Paul University
FundersSaint Paul UniversityUniversity of Ottawa
KeywordsBosnianNarrativeDissentHistoryCultural memorySociologyMedia studiesGender studiesLiteratureLawPolitical scienceAnthropologyArtPoliticsLinguistics

Abstract

fetched live from OpenAlex

The challenges of remembering and memorializing the violence of Bosnia-Herzegovina’s tumultuous 20th century have captivated numerous scholars’ imaginations, because Bosnia is a remarkable example of both the utility and abuse of wartime memory. However, the elephant in the room during these discussions is the role of dark humour in narratives of Bosnia’s recent past. This article argues that dark humour is an especially subversive form of counter-memory, that allows Bosnians to express dissent from dominant narratives of the Bosnian War that they perceive as unproductive or divisive. Examples are drawn from oral histories, film and monuments to demonstrate how humour speaks to three major themes of Bosnian remembering: the idea of Bosnians as powerless victims; the seemingly arbitrary nature of the war and its aftermath; and the failures of the international community before, during and after the war. Bosnian dark humour critiques not only the above themes, but simultaneously the social structures in place for discussing the past.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.474
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.123
GPT teacher head0.366
Teacher spread0.244 · 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