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Record W2482527955 · doi:10.1057/9781137383969_3

Tracing Global Assemblages, Bringing Bourdieu to the Field

2014· book-chapter· en· W2482527955 on OpenAlexaff
Rita Abrahamsen, Michael C. Williams

Bibliographic record

VenuePalgrave Macmillan UK eBooks · 2014
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsConversationTRACE (psycholinguistics)TracingGeopoliticsState (computer science)Field (mathematics)Security studiesSociologyInternational securityPolitical scienceEpistemologySocial scienceComputer scienceLawPolitics

Abstract

fetched live from OpenAlex

In this conversation with the editors, Rita Abrahamsen and Michael Williams describe how assemblage ideas are deployed in their analysis to trace the changing configurations of global security. Relying on their experience with Security Beyond the State, they describe how theoretical work on assemblages has been useful to them in ordering their empirical investigations of security actors in Africa, where traditional Western-centred concepts have been unequal to the task of understanding the evolving nature of security provision. Assemblages, they argue, can move us beyond the simplistic notion that African state weakness is behind the rise of private security actors in the region. In their method of tracing the emerging complex global assemblages of state and non-state, public and private, global and local actors, they destabilize traditional ideas about the nature of geopolitics.

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.

How this classification was reachedexpand

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.971
Threshold uncertainty score1.000

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 science0.0010.000
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 head0.019
GPT teacher head0.307
Teacher spread0.289 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2014
Admission routes1
Has abstractyes

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