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
Scholarship aiming to describe the wrongness of exploitation, especially when it is voluntary and mutually beneficial, has increased greatly in recent years. In this paper, I expand the scope of this discussion by highlighting a set of additional ethical concerns associated with many cases of mutually voluntary and beneficial exploitation. Specifically, I argue that the phenomenon of persons desperately seeking out and gratefully accepting exploitative interactions raises special moral concerns. The element of voluntariness is key to understanding how and why some exploitative interactions are degrading to exploitees. When an exploitative offer does not allow the exploitee sufficient progress toward a decent minimum of human functioning, these offers can create what I call a 'demeaning choice', where the exploitee may either accept the status quo or accept an offer that improves the exploitee's insufficiently. In these cases, the exploitee's participation in the interaction contributes to its demeaning quality, creating a form of `surface endorsement' of the treatment that she receives.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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