Bibliographic record
Abstract
OBJECTIVES: While recognized that global actors influence health information system design, studies of health informatics have largely focused on micro politics of technology design and implementation. Here a problematic patient care information system (PCIS) is discussed in relation to federal and provincial policies and corporate strategies to demonstrate that our understanding of health informatics can be enhanced by linking micro studies of health informatics to larger macro contexts. METHODS: Interviews and document study. RESULTS: Although the extent to which federal initiatives influenced (or failed to influence) provincial and hospital initiatives remains debateable, events initiated at one level (the hospital's decision to implement software, initiated at the organizational level) are influenced (perhaps indirectly) by developments in other contexts (federal/macro changes gave an initiative more weight; provincial initiatives such as the Labour Accord altered the industrial relations environment in which system development occurred). CONCLUSIONS: Micro-studies of work practice, invaluable in addressing interactions between technologies, users and work practices, often fail to account for the historic reach of global actors, although it is often these historic circumstances that contribute to present-day interactions between user, information system and organization, and that find expression - often indirectly - in daily work practices.
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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 | 0.020 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".