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Record W2027480925 · doi:10.1177/0305829808097641

The Strange Case of Ethnography and International Relations

2008· article· en· W2027480925 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

VenueMillennium Journal of International Studies · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Security, and Conflict
Canadian institutionsMcMaster University
Fundersnot available
KeywordsEthnographySociologySensibilityEpistemologyPost-realismPoliticsInternational relationsAnthropologyInternational relations theoryPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

Over the past couple of decades a growing number of International Relations (IR) scholars have adapted and adopted ethnographic research and writing modes, hoping that ethnography would introduce an emancipatory research agenda and refurbish the discipline's parochial vestiges. This article discusses the promising and problematic implications of this move. It argues that the `ethnographic turn' in IR ignores recent anthropological literature on the topic and employs a selective and often instrumental notion of what ethnography is and does. By reviewing some of the most prominent ethnographic contributions made by feminist and social constructivist authors, this article demonstrates that, in international relations, the complexity of ethnography has been reduced to (1) an empiricist data-collection machine, (2) a writing style, or (3) a theoretical sensibility. However, this intervention also hopes to encourage students of global politics to rewrite international relations from an ethnographical stance and take full advantage of ethnography's radical promise.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.554

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 studies0.0010.001
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 head0.110
GPT teacher head0.380
Teacher spread0.270 · 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