History, Society, and Institutions: The Role of Collective Memory in the Emergence and Evolution of Societal Logics
Bibliographic record
Abstract
We examine the role of history in organization studies by theorizing how collective memory shapes societal institutions and the logics that govern them. We propose that, rather than transhistorical ideal types, societal logics are historically constituted cultural structures generated through the collective memory of historical events. We then develop a theoretical model to explain how the representation, storage, and retrieval of collective memory lead to the emergence of societal logics. In turn, societal logics shape memory making and the reproduction and reconstruction of history itself. To illustrate our theory, we discuss the rise of the corporate logic in the United States. We identify two sources of discontinuity that can disrupt this memory-making process and create notable disjunctures in the evolution of societal logics. We conclude by discussing how changes in collective memory and the historical trajectory of societal logics shape organizational forms and practices.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.026 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".