Approaches to Education of Pharmaceutical Biotechnology in Faculties of Pharmacy
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
Pharmaceutical biotechnology is developing rapidly both in academic institutions and in the biopharmaceutical industry. For this reason, FIP Special Interest Group of Pharmaceutical Biotechnology decided to develop a questionnaire concerning pharmaceutical biotechnology education. After preliminary studies were completed, questionnaires were sent to the leading scientists in academia and research directors or senior managers of various Pharmaceutical Biotechnology Companies in order to gather their views about how to create a satisfactory program. The objectives of this study were as follows: -To review all of the graduate and undergraduate courses which are presently available worldwide on pharmaceutical biotechnology in Faculties of Pharmacy. -To review all of the text books, references and scientific sources available worldwide in the area of pharmaceutical biotechnology. When replying to the questionnaires, the respondents were asked to consider the present status of pharmaceutical biotechnology education in academia and future learning needs in collaboration with the biotechnology industry. The data from various pharmacy faculties and biotechnology industry representatives from Asia, Europe and America were evaluated and the outcome of the survey showed that educational efforts in training qualified staff in the rapidly growing field of pharmaceutical biotechnology is promising. Part of the results of this questionnaire study have already been presented at the 57th International Congress of FIP Vancouver, Canada in 1997.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it