Cantilevering the Malaise: Confusopoly in the 21st Century Employment Relationship
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.031 | 0.061 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".