<i>Les champs de pratique des diététistes</i> influencent leur utilisation d'Internet et leurs besoins de formation
Bibliographic record
Abstract
The study documents the use of the Internet by Quebec dietitians, and addresses their specific needs according to their fields of practice. Of the 1,852 questionnaires mailed, 708 were returned. Most of the respondents have a computer at home or at work, and have access to the Internet. The Internet is used mostly at home. Factors limiting greater use of the Internet include time, knowledge and cost. The most popular services are electronic mail and the World Wide Web. Most of the respondents would be interested in training programs on database searches, on searching for information on the Internet and on evaluating the validity of information found on the Internet. Data analysis has revealed that Internet usage is related to dietitians' fields of practice. Moreover, specific training needs have been identified for clinical dietitians, dietitians in private practice and in public health, and those combining managerial and clinical activities. Results suggest the need to adapt training programs and services to dietitians' fields of practice and to develop these programs accordingly.
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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 | 0.005 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".