Technological capability and technology transfer; a case study in the pharmaceutical industry and in Canada
Bibliographic record
Abstract
A aquisição de conhecimentos tecnológicos tem se tornado uma prática comum para as empresas farmacêuticas desenvolverem medicamentos mais eficazes e seguros. Este trabalho tem o objetivo principal de analisar a habilidade das empresas farmacêuticas de desenvolverem suas capacidades tecnológicas através de tecnologia importada. Assim, apresenta-se um modelo conceitual de desenvolvimento de capacidades tecnológicas em empresas farmacêuticas. Este modelo analisa se os elementos críticos (capacidade de absorção, modo de transferência, natureza da tecnologia, capacidade gerencial, elementos organizacionais) podem afetar a habilidade de uma empresa de desenvolver suas capacidades tecnológicas com a tecnologia importada. Estudos de casos em sete empresas farmacêuticas no Brasil e quatro no Canadá foram realizados com a utilização do modelo conceitual.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".