Revitalizing Organizational Memory through Hermeneutic Phenomenology: Interpreting Information System Change in Ontario’s Child Protection Sector
Bibliographic record
Abstract
After a period of robust activity in the 1990s and early 2000s, organizational memory has become a marginal topic in the study of information systems. To revitalize this debate, this paper looks at organizational memory from a phenomenological perspective. Traditional approaches to organizational memory have relied on knowledge-focused cognitivist assumptions. In this paper, an additional form of organizational memory is proposed that is embodied in the referential holism of equipment, environment, and socialization, which underpin being-in-the-world. This kind of organizational memory is not already obvious, but is hidden in plain sight. Three examples from the implementation of a new centralized enterprise case management system in the Canadian province of Ontario illustrate this understanding. This paper contributes both a more nuanced account of the phenomenon of organizational memory, as well as a phenomenological hermeneutic method to enable the study of this non-obvious background memory that underpins meaningful action in the world.
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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 | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.026 | 0.060 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".