Bibliographic record
Abstract
Abstract This book is about personal autonomy and oppressive social contexts. Theories of personal autonomy identify the conditions that must be met in order for a person’s life, identity, desires, motivations, values, and actions truly to count as her own. To make one’s life one’s own, in the senses relevant to personal autonomy, however, is not to escape relation. Autonomy is intricately dependent on relations of many sorts. This book articulates significant ways in which oppressive social circumstances constrain the autonomy of marginalized agents by actively failing to provide and sustain the relations required for autonomy. While a lot of valuable work has been done to articulate the causally relational connections between oppression and autonomy, the focus of this book is to elaborate the undertheorized ways in which oppressive social circumstances are constitutively relevant to autonomy. It moves away from a focus on socialization and the internalization of oppressive norms and centers for analysis the implications for autonomy of living with those empowered to harass and engage in racial profiling, of experiences of epistemic injustice, of the political distribution of negative affect, and of practices of displacing the first personal, experiential perspectives of marginalized agents from the public sphere. These alternative considerations bring into focus the constitutively relational relevance of oppression to autonomy and provide an interpretive lens that can accommodate the claim that an agent may not internalize oppressive norms and values in ways that damage her, yet may nevertheless find her autonomy constrained by oppressive social relations.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.020 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.089 | 0.018 |
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".