Le rôle de l'information sur Internet dans la consommation médicale : le cas des patients canadiens francophones et anglophones
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The aim of this research is to study the relationship between Internet information use and medical resources consumption by French-speaking and English-speaking Canadian patients. This relationship is assessed directly and indirectly through attitude variables. The choice to distinguish between French-speaking and English-speaking patients was justified by a mean comparison analysis. The analysis of the data obtained from the diffused quantitative questionnaire was performed using SPSS and PLS statistic tools. Results showed that the direct relationship between Internet information use and medical resources consumption is significant and positive for the two samples. However, it is stronger for the Frenchspeaking sample. This result probably reflects a greater concern regarding the offer of medical information on the Internet in the French language. Research contributions are theoretical and practical. On one hand, this research is the first to test the proposed model for two different populations in terms of used languages. On the other hand, the results of this study allow becoming aware of the existence of a possible problem regarding the offer of health information on the Web.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.019 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it