Disrupting the Invisibility of Working-Class Girls: Redemption, Value, and the Politics of Recognition
Bibliographic record
Abstract
At a time when individualized narratives have replaced structural explanations like social class to account for inequality, girls who are on the urban fringe are not only made invisible but are under-valued as contributing members to a future, individually oriented society. This article offers a visual disruption in order to re-value the stigmatized, working-class girl by applying the concept of use-value to identify the girls' redemption narratives as an agentic process that is expressed affectively. Drawing from an ethnography of urban, working-class girls who utilize social services, this article reveals how class as culture operated along with other classification systems to inscribe the girls as a problem. Recognizing this, each girl had a redemption tale to tell so as to recover a sense of self; the self-narratives revealed alternative value systems that provided collective and practical value to them.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.031 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".