Bibliographic record
Abstract
Research is a method for development of science boarders and opening new horizons for the future [1].Any activity in this mesicontext is also called research activities [2].However, explore a few points is very important and crucial.Because somet researchers and scholars that undertake research management at universities, so are drowning in the race of knowledge (Article) production, that they forget the main target and general nature of the science.Science and philosophy of science demonstrate and explain goal of science production always.Nevertheless, less attention s on them [3].Always at the medical sciences university's several qualitative and quantitative workshop in research fori students and faculty members runs [4].That, less attention is to the means and concept philosophy of science production [5].To clarify this, it is better to think about a few questions.Do medical scientists in developing countries need to go along with the hasty community of science?Alternatively, must use of results of studies as meta-analysis and systematic review researches based on their community problems in every domain of education, management, prevention and health promotion.On the other hand, must they train for article production?Is the university's mission the train of scientists who are writing a paper or solving problems of community or health system?In the other word, do we think to application and benefits of the sciences (papers) which we have produced?Are we proud to use the results of research or to produce articles?Why our indexes for the assessment of scientific progress in countries are research budget or papers published instead of use of research results?Does the number of articles published in authentic medical journal per year can solve community health problems?Do we train researchers to do research patients based, health system based or community based oriented?It seems that the answer to such questions is clear and logical, but now our main research policy causes the number of young researchers that greedy and blind following non-functional Science production added every day.Another important question that the answer to it could be use as pathfinding of research policy of the country is that: Is the research conducted in countries or at universities based on our needs or not?On the other hand, the research conducted is Aligned scope of foreign
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.947 | 0.950 |
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; the direct Gemma label and the distilled Codex classifier 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".