Bibliographic record
Abstract
Charles Taylor and Michel Foucault offer two very different descriptions and analyses of modern identities. While it can be argued that Taylor and Foucault are thematizing two very different aspects of identity — Taylor is focusing on first-person, subjective, affirmed identity, and Foucault is focusing on third-person, or ascribed, category identity — in practice, these two are very much intertwined. I argue that attention to identities of race, gender, class and sexual orientation demands that we combine a Foucauldian power analysis with a Taylorean understanding of authenticity. Taking Nancy Fraser's and Linda Gordon's example of the `single black mother on welfare' as the `icon of dependency' in America and Charles Taylor's example of the `householder' who understands himself in relation to an ideal of independence, I show that neither individual can develop either self-knowledge or freedom without engaging in a quest for authenticity that involves both analysis of relations of power and identification with resistant identities. This requires moving beyond both Taylor and Foucault to an understanding of identity in terms of critical relations with defining communities.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.023 |
| Scholarly communication | 0.012 | 0.016 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.017 | 0.009 |
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".