Strategic collective action and the proportionality of reasons to expected benefits
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
We argue that, in order to explain the relative strengths of our reasons to contribute to different collective endeavours, approaches to the ethics of collective action must understand the strengths of our reasons to make a given contribution as proportional to its expected benefits, or its chances of bringing about benefits in proportion to their magnitudes. The view that most clearly meets this proportionality requirement is the expected consequences approach, which identifies our reasons to perform an act with its expected benefits. We contend that views other than the expected consequences approach must similarly proportion the expected degrees of what they take to be reason-giving features of a contribution – such as its virtuousness, appropriate expression, support by considerations of fairness, or helping without making a difference – to the contribution’s expected benefits. The proportionality requirement explains why we should spend more time participating in strategic social, political, and labour movement activities, while avoiding unproductive conflicts and merely performative activities. We conclude that the proportionality requirement, and the ability of views other than the expected consequences approach to meet it, are important for thinking and communicating about the ethics of collective action in ways that are simultaneously most compelling and most strategic.
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 | 0.000 |
| 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