Discourse / Discours - Developing a Relationship With the Computer in Nursing Practice: A Grounded Theory
Bibliographic record
Abstract
While there is evidence that information technology can improve clinical practice, nurses have been slow to adopt computers and information systems. The purpose of this study was to develop substantive theory on how nurses integrate computers into their clinical practice and to identify influencing factors. Using grounded theory, the researchers conducted interviews with 12 nurses practising in two acute-care hospitals in the Canadian province of British Columbia. All participants engaged in developing a relationship with the computer in their practice. They integrated computers into their practice at varying speeds and degrees of adoption, depending on personal characteristics, prior experience with computers, the extent to which computerization was congruent with their values, whether they were able to see the benefits of the technology, and their ability to manage and overcome the barriers to computer use. Nurses require both organizational supports to facilitate technology integration and computer education in their basic nursing programs.
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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 | 0.018 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.007 | 0.028 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| 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".