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Becoming Undisciplined: Toward the Supradisciplinary Study of Security

2005· article· en· W1967531101 on OpenAlex
J. Marshall Beier, Samantha L. Arnold

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

VenueInternational Studies Review · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Security and Public Health
Canadian institutionsYork UniversityMcMaster University
Fundersnot available
KeywordsLibrary scienceSociologyPolitical scienceMedia studiesComputer science

Abstract

fetched live from OpenAlex

In recent years we have seen increasing reflection among scholars of security studies regarding the boundaries of their field and the range of its appropriate subject matter. At the same time, scholars elsewhere in the academy have been developing their own approaches to issues of security. These various pockets of work have been undertaken in nearly complete isolation from one another and with little apparent awareness of relevant developments in the other fields. In this essay, we advance the claim that security cannot be satisfactorily theorized within the confines of disciplinary boundaries—any disciplinary boundaries. The challenge thus becomes how to develop what might be termed a “supradisciplinary” approach to the study of security that will allow us to think and engage our subject matter across a range of discourses without giving rise to an interdisciplinary hybrid or sui generis discipline.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.802
Threshold uncertainty score0.565

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.140
GPT teacher head0.477
Teacher spread0.337 · 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