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Record W4213160196 · doi:10.5206/fpq/2016.2.3

Allied Identities

2016· article· en· W4213160196 on OpenAlexvenueno aff
Kurt Martin Blankschaen

Bibliographic record

VenueFeminist Philosophy Quarterly · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsObligationHarmPrima facieHonorMoralityMoral obligationPolitical scienceLawSociologyLaw and economics

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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.

Opus teacher head0.047
GPT teacher head0.319
Teacher spread0.272 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2016
Admission routes1
Has abstractyes

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