Plnotextové frankofonní informační zdroje z oboru medicíny dostupné v prostředí WWW
Bibliographic record
Abstract
The purpose of this thesis is to analyze and evaluate francophone fulltext information resources in the field of medicine available on the World Wide Web either for free or paid. Origin of these resources is restricted to regions of France, Belgium, Canada and Switzerland. In general introduction the thesis specifies the medicine and talks about its history. Then the information in medicine is described as well as its publishers and agents and its typology focused on electronic form of publishing on the internet. Separate chapter is dedicated to problem of evaluation of medical information resources reliability on the internet. The core of this work is made up by the analyse and evaluation of particular types of the fulltext information resources and their representatives from the medical field which make French fulltexts available. These resources are portal, digital archive, digital library, database accessing fulltexts, electronic system of thesis and electronic journals. Particular types of resources are described in general at first, then their specific representatives are stood up by their reliability, manner of its sorting, accessibility and possibilities of content dissemination. Conclusions of this work summarize and evaluate all findings.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.007 |
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".