Globalization and the erosion of the welfare state: effects on Chinese immigrant women.
Bibliographic record
Abstract
Since the 1980s the Canadian neoliberal state has been rapidly undergoing economic restructuring. The dominant discourse argues for the natural and inevitability of the mechanisms of globalization structural adjustment and privatization thus closing off challenges and debates for possible alternative strategies and action. The withdrawal of the state and the erosion of welfare programs (such as daycare elderly care womens shelters psychiatric hospitals etc.) changes concretely the everyday lives of Canadian citizens particularly for women and other disadvantaged groups. Previously state-subsidized programs such as childcare elderly care mental care and healthcare are either downsized or privatized. The work of caring is being pushed back into the home and downloaded onto women who are expected to be the primary caregivers due to their gender. The shutdown or downsizing of public institutions causes many women to lose their jobs since they are over-represented in the public sector. Those women who seek employment are being channelled into the private sector as part-time flexible labour with no benefits or job security. The hollowing out of the welfare state means that the state no longer provides a social safety net for its citizens. Unemployment is seen as an individual private problem rather than a public responsibility. (excerpt)
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 | 0.002 | 0.003 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".