The Diffusion of Culture and Cognition Within and Beyond Sociology, 1997-2021
Bibliographic record
Abstract
In recent years, sociologists have lamented the fact that interdisciplinary exchange regarding Culture and Cognition has been largely asymmetrical. However, to date no sociologist has empirically established the degree of interdisciplinary diffusion of Culture and Cognition scholarship. We add empirical detail to these discussions through a bibliographic analysis of 16 key Culture and Cognition articles, analyzing their citation patterns both within and beyond Sociology. Within Sociology, we find that citations of Culture and Cognition scholarship tend to cluster within culture, generalist, and theory journals. In terms of interdisciplinary diffusion, we find that while engagement with Culture and Cognition scholarship is indeed concentrated within sociology, almost half of the citations of this work come from other disciplines. This suggests that, while not entirely incorrect, the characterizations of Culture and Cognition’s interdisciplinary uptake have been somewhat exaggerated.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".