MétaCan
Menu
Back to cohort
Record W1865046925 · doi:10.24908/ss.v7i3/4.4152

From the Beginning: Children as Subjects and Agents of Surveillance

2010· article· en· W1865046925 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

VenueSurveillance & Society · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPrivacy, Security, and Data Protection
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGovernment (linguistics)CONTESTPublic relationsClothingTracking (education)Coercion (linguistics)Internet privacySociologyComputer securityBusinessPolitical scienceLawComputer science

Abstract

fetched live from OpenAlex

This article examines the claims made by surveillance entrepreneurs selling surveillance to parents and government agencies responsible for children. Technologies examined include pre-natal testing, baby monitors and nanny cams, RFID-enabled clothing, GPS tracking devices, cell phones, home drug and semen tests, and surveillance toys. We argue that governments, both in the contest of health care and education, use surveillance to identify and “manage” genetic or behavioural deviations from the norm. Parents, on the other hand, are encouraged to buy surveillance technologies to keep the child “safe”. Although there is a secondary emphasis on parental convenience and freedom, surveillance is predominately offered as a necessary tool of responsible and loving parenting. Entrepreneurs also claim that parents cannot trust their children to behave in pro-social ways, and must resort to spying to overcome children’s tendency to lie and hide their bad behaviour. We conclude by offering some ideas to rein in the variety and complexity of the issues raised and to help order controversies in this domain.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.998

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 studies0.0010.001
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 head0.015
GPT teacher head0.285
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