Bibliographic record
Abstract
Recent decades have seen Georg Simmel's canonical status in American sociology solidify and his impact on research expand. A broad understanding of his influence, however, remains elusive. This review remedies this situation by evaluating Simmel's legacy in American sociology since 1975. We articulate Simmel's sociological orientation by elaborating the concepts of form, interaction, and dualism. Employing a network analysis of references to Simmel since 1975, we examine how Simmelian concepts have been adopted in research. We find Simmel became an anchor for change in urban and conflict studies, where scholars moved from his earlier functionalist reception toward a formalist interpretation. This formalist reception consolidated Simmel's status as a classic in network research and symbolic interactionism during the 1980s. Recent work in economic sociology and the sociology of culture, however, builds on Simmel's growing reception within relational sociology. We conclude with several ways to further articulate Simmel's ideas in the discipline.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".