“We are workers, we are not slaves”
Bibliographic record
Abstract
Abstract We argue that grassroots participation in multilateral negotiations over norm-setting is important because grassroots discourses differ from those of multilateral organizations. To compare the two, we use sociolinguistic theories that link embodied experience, ideology and discourse. We analyze texts about domestic work from the International Labour Organization (ILO) and a grassroots organization of migrant domestic workers in Hong Kong, the Asian Migrants Coordinating Body (AMCB). Findings show that AMCB’s commitment to grassroots migrants, and the embodied experiences of its members and leaders, enables their discourses on “decent work for domestic workers” to be more intersectional, more substantive and more critical than the discourses of the ILO. This case illustrates that even when the overarching norms appear to be the ‘same’, the discourses of grassroots and multilateral organizations still offer fundamentally different images of what constitutes “decent work” and what is required to achieve it.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.028 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".