El costo de la independencia: Latino house-cleaners in Technology-Mediated Labour Markets
Bibliographic record
Abstract
This paper explores the interplay between identity, collective action, and digital marketplaces among Latino house-cleaners in Toronto. Domestic work, such as house-cleaning, has traditionally been devalued, gendered, and delegated to marginalised immigrant populations. The informal nature of house-cleaning work, also introduces precarity, vulnerabilities and potential avenues of exploitation. Drawing on 19 interviews with Latino house-cleaners, the paper underscores how identity shapes experiences and strategies in the labour markets. We find that Latino house-cleaners prefer to use asynchronous digital marketplaces, such as social media commerce groups and online classified advertisement websites, as the platforms provides flexibility and control over their labour outcomes. The paper further delves into how group identities online - such as being Latino and women - foster collective action and solidarity. The paper provides insights on how we can support the needs support the challenges and needs of immigrant domestic workers in technology-mediated labour markets.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".