Анализ зарубежных диссертационных исследований по гигиене (по данным электронного ресурса Proquest Dissertations а^ Theses, 1992-2015 гг.)
Bibliographic record
Abstract
Search in electronic resource ProQuest Dissertations and Theses (PQDT) found 12,813 dissertation works in hygiene, prepared in foreign universities in 1992-2015. Master's degree dissertations were 99.4%, doctor's degree - 0.6%, published in English - 97.2%. In US universities were prepared 67.7% of the works, in Canada - 30.9%, in other countries - 1.4%. No Russian dissertations were found in PQDT. General hygiene topics were studied in 27.5% of the works, communal hygiene - in 5.3%, industrial hygiene and occupational diseases - in 7%, pediatric hygiene - in 20%, nutrition hygiene - in 17.8%, radiation hygiene - in 0.7%, rural hygiene - in 12.5%, hospital hygiene - in 8.3%, military hygiene - in 0.9%. Electronic resource PQDT opens wide possibilities for scientists - 89.9% dissertations in hygiene contained complete texts.
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.
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 | 0.013 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".