Bibliographic record
Abstract
Chapter 1 Introduction. Theorizing Knowledge Labor and the Information Society Chapter 2 Chapter 1. Labor Off the Air: The Hearst Corporation, Cross Ownership and the Union Struggle for Media Access in San Francisco Chapter 3 Chapter 2. Writing Off Workers: The Decline the U.S. and Canadian Labor Beats Chapter 4 Chapter 3. The Librarian and the Univac: Automation and Labor at the 1962 Seattle World's Fair Chapter 5 Chapter 4. A Libratariat? Labor, Technology, and Librarianship in the Information Age Chapter 6 Chapter 5. Marketing Creative Labor: Hollywood Making of Documentary Features Chapter 7 Chapter 6. Commodification Creativity: Reskilling Computer Animation Labor in Taiwan Chapter 8 Chapter 7. Glocalization in an Era Globalization: Labor Relations in British Provincial Newpapers Chapter 9 Chapter 8. Spanish TV Production Goes Digital: Impact on Journalistic Routines, Workflow, and Newsroom Organization Chapter 10 Chapter 9. No Information Age Utopia: Knowledge Workers and Clients in the Social Service Sector Chapter 11 Chapter 10. Outsourcing Knowledge Work: Labor Responds to the International Division Labor Chapter 12 Chapter 11. Economy/Old Labor: Creativity, Flatness, and Other Neo-liberal Myths Chapter 13 Chapter 12. Immaterial Labor, Precarity, and Recomposition Chapter 14 Chapter 13. Media as a Mode Production? Chapter 15 Chapter 14. High-Tech Workers the World, Unionize! A Case Study WashTech's New Model Unionism Chapter 16 Chapter 15. Short-Circuited? The Communication Labor Struggles in China Chapter 17 Chapter 16. Women and Knowledge Work in the Asia-Pacific: Complicating Technological Empowerment Chapter 18 Chapter 17. Globalization and Workers' Power: The Struggle for Hegemony during the 1997 UPS Strike Chapter 19 Chapter 18. Labor Strife and Carnival Symbolism Chapter 20 Chapter 19. Neo-liberalism and Its Impact in the Telecommunications Industry: One Trad Unionist's Perspective
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.010 | 0.021 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".