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Why Where You Are Matters

2011· book-chapter· en· W2478497957 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

VenueIGI Global eBooks · 2011
Typebook-chapter
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsQueen's University
Fundersnot available
KeywordsTraceabilityTransparency (behavior)Internet privacyContext (archaeology)VisibilityTRACE (psycholinguistics)BusinessComputer securityAdvertisingTelecommunicationsComputer scienceGeography

Abstract

fetched live from OpenAlex

The traceability of bodies and goods has become a central feature of surveillance systems in the twenty-first century. This heightened visibility is made possible by numerous technical means but among the most important is the global expansion of mobile telephony. By this means, for example, employers may trace the location of employees, parents of children, marketers of consumers and police of suspects. How this happens involuntarily, how it builds on the ‘mundane mobilities’ of voluntarily acknowledging the location of the caller, what its consequences are for the increased transparency of, and digital discrimination among, mobile telephone users, is discussed in the context of broad theories of surveillance today. These technologies are in constant development, that simultaneously renders them more effective as surveillance devices and they are thus of more than mere academic interest.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.356
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.033
GPT teacher head0.269
Teacher spread0.236 · 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