Social Capital as Social Relations: the contribution of normative structures
Bibliographic record
Abstract
This paper presents a framework for social capital that highlights the normative structures through which it is manifested. The primary focus is on the ways that norms structure the relationships in which social capital is embedded. To this end, we introduce four types of normative structures which condition social capital: market, bureaucratic, associative, and communal. A field site in Japan is used illustrate how different aspects of social capital interact. This case analysis also serves to make an important distinction between the availability and use of social capital. The central arguments are that 1) social capital is organized in different ways by the normative structures in which it is embedded; 2) there are important interactions between these different aspects of social capital that are often overlooked by simpler frameworks; 3) a useful distinction can be made between available social capital and used social capital; 4) access to social capital can be used to analyze power relations; and 5) distinguishing different aspects of social capital makes areas visible that are overlooked by other understandings of social capital. We conclude by identifying the utility of our perspective for informing public policy and guiding \nfuture research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".