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War‐making and sense‐making: some technical reflections on an instance of ‘friendly fire’

2012· article· en· W1520977150 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

VenueBritish Journal of Sociology · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicAnthropology: Ethics, History, Culture
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsInquestCoronerPraxeologyEthnomethodologyEvent (particle physics)HistoryPoliticsSociologyLawPolitical scienceSocial scienceEpistemologyPoison controlSuicide prevention

Abstract

fetched live from OpenAlex

In this paper we analyse a 'friendly fire' incident from the second Gulf War and the controversy which came to envelop it during a coroner's inquest in 2007. Focusing on the cockpit video of the incident that was leaked to the media during that inquest, we examine what the military and civilian investigators were involved in reconstructing: the incident as it unfolded in real time. Our analysis is grounded in a praxeological perspective that draws on and links ethnomethodological studies of work, research into 'normal' accidents, disasters and risks, and recent ethnographies of the military. Based on our analysis, we suggest that the accounts offered after the event by the military and civilian inquiries should be treated less as competing descriptions than different ways of problematizing particular aspects of the military-political 'machineries' the pilots' actions were enmeshed within.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.550
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.074
GPT teacher head0.420
Teacher spread0.346 · 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