How to Get Punched by the ‘Weak’: <i>An Analysis of the Agency of Filipina Domestic Workers in a Global, Unequal, and Gendered Labor System</i>
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Studying the challenges, suffering, and exploitation of the underprivileged around the world becomes valuable when it allows us to identify and then fix a problem. This paper pushes back against a narrative characterizing Filipina domestic workers as unable to fight against the global, unbalanced, sexualized, racialized, gender regime they work under. There are many examples where they are able to make a difference without needing the same resources as large international organizations or states. The key findings are a list of 10 actions taken by them, summarized as a tried and tested, non-exhaustive list of tools of the underprivileged ‘punching’ back. Using citizenship to leverage governments’ power, using their voices to leverage NGOs, reconciling and finding benefit with pervasive judgment and stereotypes, and even creating entire NGOs, magazines, and social movements, are all examples of how supposedly weak victims punch back.
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.
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 | 0.000 |
| Open science | 0.000 | 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 it