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Record W1999454336 · doi:10.1108/13665620310504855

Hidden dimensions of work and learning: the significance of unpaid work and informal learning in global capitalism

2003· article· en· W1999454336 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Workplace Learning · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsInstitute for Work & HealthUniversity of Toronto
Fundersnot available
KeywordsCommodificationCapitalismSociologyUnpaid workInformal learningArgument (complex analysis)Scope (computer science)Informal educationWork (physics)Public relationsSocial scienceEconomicsEconomic growthPedagogyPolitical scienceHigher educationEconomy

Abstract

fetched live from OpenAlex

Over the past two centuries capitalist social relations and their underlying dynamics have become increasingly pervasive in the spaces of human life, and in particular in the relationships between employment and organized forms of education. The massive scope of this commodification has tended to obscure the enduring significance of other aspects of social practice, especially unpaid work and informal learning and their interrelations with education, employment and each other. These hidden dimensions continue to constitute large parts of our social lives and represent very substantial resources for progressive change in established forms of paid work and formal education. This paper develops this argument and provides some supportive evidence from a Canadian national survey on learning and work.

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)0.003
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 score0.455
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.241
Teacher spread0.232 · 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