Where does social control end and social capital begin? Examining social space, conflict, and the politics of difference
Bibliographic record
Abstract
The intent of this paper is to widen understanding of social capital to incorporate not only the structure of relations between individuals but also the creation of space; not just the development of consensus but also a place for conflict; and to examine the creation of social capital in a way that also honours individual identity and acknowledges systemic oppression. Here, the structural discussion of social capital is augmented by an examination of power and human agency. This discussion helps to deepen understanding of three characteristics of social capital identified in the literature: that people who contribute to the development of social capital and people who benefit from it may be different; actions that produce social capital in one circumstance may not produce social capital in others; and people have uneven access to stocks of social capital. Where understanding of social capital began in network analysis and later took a cultural turn, this article adds a critical and psychological perspective.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.030 |
| Scholarly communication | 0.012 | 0.013 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".