Bibliographic record
Abstract
Miranda Fricker (2008) identifies a wrong she calls ‘hermeneutical injustice’. A culture’s hermeneutical resources are the shared meanings its members use to understand their experience, and communicate this understanding to others. Cultures tend to be composed of different social groups that are organised hierarchically. As a consequence of these uneven power relations, the culture’s shared meanings often reflect the lives of its more powerful members, and fail to properly capture the experiences of the less powerful. This may result in members of less powerful groups being harmed. Such disadvantage constitutes, for Fricker, hermeneutical injustice. In this paper, I discuss a problem for Fricker, which arises when we consider what is required to remedy a hermeneutical wrong. Fricker characterizes hermeneutical injustice as involving a lack of concepts, on the part of the disadvantaged group, to capture some important aspect of their experience. But what has not been properly appreciated in the literature to date, is that it is really competing views of the world that are at stake. Moreover, Fricker’s account seemingly implies that the disadvantaged group’s understanding of the world (or at least that bit of it, where their understanding is contested by the dominant group, and where that difference in interpretation is harmful to the disadvantaged group – what I will call ‘the target of the injustice’) should be treated as authoritative, and taken up by the wider culture. The worry is that in some cases, the disadvantaged group’s view of the world is not one that we think should be accepted. Having presented this problem, I will then show that it bears some similarities to another debate: the dispute over feminist critiques of alien cultural practices. I will then argue that lessons drawn from the latter can help overcome the problem of authority in Fricker’s case.
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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 | 0.032 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.149 |
| Scholarly communication | 0.015 | 0.022 |
| Open science | 0.004 | 0.012 |
| Research integrity | 0.014 | 0.018 |
| Insufficient payload (model declined to judge) | 0.005 | 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".