Throwing the Baby Out with the Bathwater? Revisiting Debates around Educational Inequalities, Social Capital, and Solutions
Bibliographic record
Abstract
I review debates around the persistence of stratified educational outcomes. Three explanatory perspectives on social inequality, including educational inequality, are discussed: the “culture of poverty” perspective, the resistance perspective, and the “cultural wealth” perspective. Recent perspectives that emphasize the need to recognize and validate cultural wealth within marginalized urban communities offer an important counterbalance to viewpoints that highlight perceived deficiencies within such milieus. Cultural wealth scholarship views structural discrimination as the primary force that produces inequalities based on race and class. There is, however, a tendency in progressive scholarship to romanticize such communities and focus predominantly on structural change within schools. Many such scholars view community-based social capital initiatives with suspicion and generally deprioritize the urgent need to expand and diversify social capital within minoritized urban communities. I attempt to illustrate that, while structural forces are important to consider when addressing educational inequalities, overlooking social capital-related factors will result in marginalized urban communities continuing to suffer disadvantage.
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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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.006 | 0.030 |
| Scholarly communication | 0.014 | 0.016 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.008 | 0.012 |
| Insufficient payload (model declined to judge) | 0.003 | 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".