Evaluation of MAS-ICM 2015-2020
Bibliographic record
Abstract
The Masters of Advanced Studies in Integrated Crop Management (MAS ICM) was a higher education course which ran from 2015 to 2020.The interdisciplinary course provided knowledge on ICM within a sustainable agricultural production system, and the course was offered to agricultural professionals from developing countries.This assessment aimed to determine the actual benefits experienced by the 66 graduated students, which mainly came from Africa and Asia and 40% of which were women.A questionnaire was developed that mainly focused on quantifying the longer-term impacts of the course after the students had returned home.Participants reported a variety of different impacts, including job promotion, increased confidence and respect in their opinions, as well as increased knowledge and soft skills.The study concluded that knowledge transfer might be as efficient in virtual online courses as face-to-face courses.However, the gain in soft skills, that was a key benefit for MAS ICM students, would be challenging for those participating in a virtual course to obtain.An online Certificate of Advanced Studies course is currently being rolled out by CABI and would profit from a similar evaluation in a few years' time.
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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 | 0.012 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".