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Record W3041413971 · doi:10.1017/9781108556095

Security at the Borders

2018· book· en· W3041413971 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

VenueCambridge University Press eBooks · 2018
Typebook
Languageen
FieldSocial Sciences
TopicPeacebuilding and International Security
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBorder SecurityState (computer science)Political scienceWork (physics)State securityEthnographyInternational securityIdentification (biology)Competition (biology)Public relationsPublic administrationComputer securityBusinessEngineeringGeographyPoliticsLawComputer science

Abstract

fetched live from OpenAlex

Borders are not just lines in the sand, but increasingly globalised spaces of practice. This is the case in West Africa, where a growing range of local and international officials are brought together by ambitious security projects around common anxieties. These projects include efforts to stop irregular migration by sea through international police cooperation, reinforcing infrastructures at border posts, and the application of new digital identification tools to identify and track increasingly mobile citizens. These interventions are driven by global and local security agendas, by biometric passport rules as much as competition between local security agencies. This book draws on the author's multi-sited ethnography in Mauritania and Senegal, showing how border security practices and technologies operate to build state security capacity, transform how state agencies work, and produce new forms of authority and expertise.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.392
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.261
Teacher spread0.242 · 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