Dissidents and Innocents: Hard Cases for a Political Philosophy of Boycotts
Bibliographic record
Abstract
Abstract In this article, I distinguish boycotts from other kinds of superficially similar types of actions, and argue that boycotts involve at least coordinated activity on the part of the members of a group to abstain on moral grounds from otherwise normal interaction with the members of another group. Boycotts in their minimal forms do not face high justificatory hurdles, since they involve the exercise of freedom of speech, along with the exercise by members of the boycotting group of basic rights and freedoms, such as the right to associate, freedom of movement, and the like. The justificatory hurdles are greater, though not insurmountable, when boycotts involve the coercion of members of the boycotting group who either disagree with the grounds for boycott, or with the appropriateness of boycotting as a strategy to bring about a morally desirable change, or when they involve defeating the reasonable expectations of members of the boycotted group. I describe the justificatory challenges in both these cases, as well as the ways in which they can be met.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.092 |
| Scholarly communication | 0.012 | 0.017 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.013 | 0.018 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".