Ecologies of Memories: Memory Work Within and Between Organizations and Communities
Bibliographic record
Abstract
In this paper, we review and synthesize the growing sociology-informed literature on organizational memory studies, which focuses on collective memory as a social construction of the past. To organize this literature, we present an ecological view of collective memory. Organizations, from this perspective, are conceived of as both constituted by a variety of mnemonic communities and, simultaneously, part of a broader ecology of mnemonic communities. We use this framework to guide our review of the various forms of memory work within and between mnemonic communities. Our review shows that much of the sociologically informed research has focused on memory work within communities. We also identify an emerging interest in the study of memory work between communities. In conclusion, we discuss possible future directions and outline a three-point agenda for future research that calls for a better understanding of the relational dynamics of memory with a focus on the organizing of memory, the embeddedness of memory work, and the construction of experiences of the past.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.017 |
| Scholarly communication | 0.008 | 0.015 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".