The post-Fordist sexual contract : working and living in contingency
Bibliographic record
Abstract
1. Contingent Labour And The Rewriting Of The Sexual Contract Lisa Adkins PART I. WORK READINESS, EMPLOYABILITY AND EXCESSIVE ATTACHMENTS 2. Future Investments: Gender Transition As A Socio-Economic Event Dan Irving 3. Self-Appreciation And The Value Of Employability: Integrating Un(Der)Employed Immigrants In Post-Fordist Canada Kori Allan 4. Caught In A Bad Romance? Affective Attachments In Contemporary Academia Mona Mannevuo PART II. REWRITING THE DOMESTIC, NEW FORMS OF WORK, AND ASSET-BASED FUTURES 5. Micro-Enterprise As Work-Life 'Magical Solution' Susan Luckman 6. Laptops And Playpens: 'Mommy Bloggers' And Visions Of Household Work Jessica Taylor 7. The Financialisation Of Social Reproduction: Domestic Labour And Promissory Value Lisa Adkins Maryanne Dever PART III. DISPOSSESSION, FAMILISM, AND THE LIMITS OF REGULATION 8. Negotiating Job Quality In Contracted Out Services: An Israeli Institutional Ethnography Orly Benjamin 9. Sex, Class and CCTV: The Covert Surveillance of Paid Homecare Workers Lydia Hayes 10. The Lie Which Is Not One: Biopolitics In The Migrant Domestic Workers Market In Turkey Ayse Akalin
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.020 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".