Toward a Historical Sociology of Canonization: Comparing the Development of Sociological Theory in the English-, German-, and French-Language Contexts since the 1950s
Bibliographic record
Abstract
Abstract This paper adds to a vital international tradition of discussing the history of sociological theory by empirically investigating its structure, dynamics, and relationships. Our primary contribution to this tradition is to bring to the conversation a greater level of comparative and historical scope, a more systematic quantitative methodology, and a degree of reflexivity and synthesis. To do so, we examine some 670 editions of sociological-theory books geared toward students, published in English, German, and French between 1950 and 2020. Our empirical analysis highlights patterns, trends, and relationships among the theorists featured in these books, the narratives and approaches that define their visions of sociological theory, and the characteristics of the authors who wrote them. Our findings reveal some key intellectual as well as sociological factors associated with the changing composition of the canon.
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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 | 0.021 | 0.004 |
| 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 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".