At the Intersection of Urban and Care Policy: The Invisibility of Eldercare Workers in the Global City
Bibliographic record
Abstract
Demographic aging can alter physical and social infrastructures in cities, and reshape the broader dynamic processes that theories of urbanization seek to describe and analyze. We argue that both urban and eldercare policy often render paid reproductive labor and the workers who do it invisible. They are invisiblized in both policy and urban space. A neoliberal bias in urban policies, reconstructed in the rhetoric of global cities/creative cities, denies care needs. Normative approaches exacerbate this issue, as in gendered ideologies of home, care and familial responsibility. These approaches too often detach the delicate social problem of eldercare in itself from its feasibility and desirability as a site for paid labor. In that separation, the paid workforce typically disappears from the spotlight. We use comparative case studies and the concept of territorialization to refocus on the urban context of paid eldercare work in two “aspiring” global cities, Shanghai and Vancouver.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.053 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".