Bibliographic record
Abstract
We address the co-evolution of language and material practices during institutionalization by proposing a tropological model of institutionalization that integrates linguistic and practice-oriented approaches into a four-stage sequence: Metaphor enables members to inaugurate institutional change by inspiring and energizing initial movement. Members use metonymy to operationalize the emerging institution by demonstrating how it can become expected practice. Synecdoche is used to facilitate diffusion, standardizing the institution across time and space. When material practice is noticeably contrary to linguistic claims, however, members use irony to bring about deinstitutionalization and generate another inaugurating metaphor. The model further proposes that ritualized actions dramatize each trope, highlighting its symbolic meaning and embedding distinct material practices that serve both to institutionalize the practice and to facilitate boundary crossing to the next trope. The paper goes beyond current literature by offering an integrated theory of trope and ritual as an explanation of how institutions are simultaneously symbolic-linguistic and practice-material.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.027 |
| Scholarly communication | 0.005 | 0.012 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".