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Record W4286213864 · doi:10.1163/24714607-bja10073

Cantilevering the Malaise: Confusopoly in the 21st Century Employment Relationship

2022· article· en· W4286213864 on OpenAlexaffabout
Guillaume Desjardins

Bibliographic record

VenueJournal of Labor and Society · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsConstruct (python library)BusinessPhenomenonPoint (geometry)MarketingMalaiseMarket economyEconomics

Abstract

fetched live from OpenAlex

Abstract Critiques of the way workforces were managed in capitalist market economies throughout the 20th century exist but are not necessarily relevant to emergent industries. In the digital age, new economic sectors have proliferated. These are often associated with distinctive labor management practices. A case in point is the telecommunications retail sector—shopping mall outlets where salespeople sell smartphones and associated contracts. In such outlets, it is difficult for consumers to accurately assess their needs and make informed choices, a phenomenon sometime described as confusopoly . This study provides evidence that confusopoly not only characterizes the relationship between customers and firms in the retail telecommunications industry but is also a construct that aptly applies to the employment relationship existing between vendors and their employer. Five themes supporting this conclusion are presented which draw on the results obtained from two focus-groups conducted with Canadian telco vendors in the summer of 2020.

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.

How this classification was reachedexpand

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.019
GPT teacher head0.266
Teacher spread0.247 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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