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Record W4391782858 · doi:10.1177/04866134231224043

The Nature of Labor’s Vulnerability to Exploitation

2024· article· en· W4391782858 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

VenueReview of Radical Political Economics · 2024
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVulnerability (computing)EconomicsNatural resource economicsEconomic geographyComputer securityComputer science

Abstract

fetched live from OpenAlex

I identify a hitherto unrecognized contribution of labor to production stemming from an innate sense of psychological ownership of the fruits of one’s labor. This is rooted in the consciousness accompanying all human activities and is distinct from legal ownership. Consciousness is inalienable; it cannot be contracted on. Labor’s psychological ownership generates quasi-rents, which can be appropriated by capitalist firms with market power. Monopsony power, now empirically seen to be ubiquitous in labor markets, has more serious efficiency and equity consequences than recognized. In a neoclassical framework, I also show why labor is uniquely vulnerable to exploitation—reconciling it with Marxian views. If capitalist owners are taken to be unaware of their workers’ psychological ownership, this exploitation occurs even in competitive labor markets. JEL Classification: P12, J22, J3, J42, D41

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.903
Threshold uncertainty score0.250

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0000.000
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 head0.039
GPT teacher head0.434
Teacher spread0.395 · 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