Volunteer Work, Inclusivity, and Social Equality
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
This chapter argues that current attempts in employment law to distinguish volunteers from employees on the basis of volunteer work’s civic, humanitarian, or charitable character are premised on overly narrow views of the moral significance of work. The chapter proposes that the law distinguish volunteer work from employment on the basis of the work’s <italic>merit inclusivity</italic>—inclusivity with respect to skill and ability. By offering people access to a broader range of social projects than their skills might offer in the labour market, merit inclusive volunteering opportunities can lessen the risk that skill and ability will confine people to particular social roles. Distinguishing volunteers from employees on the basis of merit inclusivity can thus create a more principled volunteer–employee legal boundary and can preserve legal space for work that lessens inegalitarian effects of the labour market on opportunities to participate in social life.
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 | 0.001 | 0.001 |
| 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