“YES, I WILL WORK ON MY FREE TIME” – DIGITAL WORK ON AMAZON MECHANICAL TURK AS THE HISTORICAL CONTINUATION OF THE EXPLOITATION OF WOMEN'S LABOR
Bibliographic record
Abstract
In this proposal, we pursue an approximation to Amazon Mechanical Turk (AMT) women workers to understand their specificities and their layers of dependence in this environment so pertinent to the “late capitalism” (Crary 2016). AMT is an online platform where workers perform low-paid services that cannot be efficiently automated. Since 2019, in the Group [Anonymized excerpt], at the University [Anonymized excerpt], we have carried out projects where we approach these workers in an attempt to understand their routines, desires and the future of work itself. In our experiences, it has become evident that women turkers tend to be even more precarious due to gender issues passed to AMT. Also we concluded that AMT help keeping the women labor power available for unpaid domestic services and, at the same time, make it profitable for several companies. To understand more about them, we conducted a survey with 53 women turkers and systematized their responses. We approached some of them to understand the relationship between Artificial Intelligence and gender issues, and also ways of better working conditions and more autonomy for these women workers.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".