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Record W7117125217 · doi:10.5206/fpq/2024.1/2.18727

Victim Blaming, Justified Risks, and Imperfect Victims

2024· article· W7117125217 on OpenAlexvenueno aff
Marianna Leventi

Bibliographic record

VenueFeminist Philosophy Quarterly · 2024
Typearticle
Language
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsnot available
Fundersnot available
KeywordsPhenomenonInjusticeImperfectMoral responsibilityCulpabilityHarmFocus (optics)Moral disengagement

Abstract

fetched live from OpenAlex

Victim blaming is a harmful but quite pervasive phenomenon occurring in contemporary societies. When people engage in victim blaming, they shift the burden of the harmful act from the perpetrators and place it upon the victims instead.This article explores how the discourse on moral responsibility can help make sense of victim blaming. The distinction between moral responsibility and blameworthiness can shed light on the contradictory intuitions that people experience when they hear about a victim who took what seems to be an unnecessary risk. The focus of this article is to explain these intuitions and respond to them by suggesting that victims not only are not blameworthy when they take risks that challenge specific norms but instead are praiseworthy. Finally, whether such risks are justified when the agents taking them have people dependent upon them is discussed. Attending to structural injustice can point out why some choices seem more justified than others. Victims who take justified risks are praiseworthy, even when their efforts do not produce significant results. This article aims to address the absence of victim blaming in discussions of moral responsibility and to bring philosophical attention to this issue. The goal is to disentangle the phenomenon of victim blaming while supporting victims and vulnerable groups.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.456
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.003

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 head0.049
GPT teacher head0.292
Teacher spread0.244 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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