Bibliographic record
Abstract
Allies are extremely important to LGBT rights. Though we don’t often enumerate what tasks we expect allies to do, a fairly common conception is that allies “support the LGBT community.” In the first section I introduce three difficulties for this position that collectively suggest it is conceptually insufficient. I then develop a positive account by starting with whom allies are allied to instead of what allies are supposed to do. We might obviously say here that allies are allied to the LGBT community, but I will argue that this community is better thought of as a loose coalition because there are often intersectional issues and conflicting interests that challenge any unified sense of community. I argue that people typically become allies because a friend or family member is experiencing some kind of specific harm; if that harm or discrimination is what causally explains why people become allies, then allies are required to do more than we commonly think. Although allies have a prima facie obligation to honor what members of a subcommunity identify as a harm, this obligation is defeasible if an ally believes fulfilling the obligation would be harmful. I conclude by looking at how we can understand what an ally is in terms of a larger discussion about moral obligations. If people already have these obligations, whatever they are, because morality requires it, then the status “ally” is redundant. I conclude by showing that certain social statuses can not only transform or reprioritize prior moral commitments, but can also introduce new kinds of responsibility that an agent did not have before.
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.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.086 | 0.020 |
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".