Perception : A Determinant of Scientists’ Participation in Agricultural Biotechnology Research and Development
Bibliographic record
Abstract
The perception of scientists was assessed to determine how it affects their participation in agricultural biotechnology Research and Development. Six Universities were selected, comprising 2 Federal Universities, 2 State Universities, 1 University of Agriculture, 1 University of Technology. Nine Research Institutes were purposively selected to represent different research mandates. The total number of respondents for the study were 148. A structured questionnaire was used. Majority of the respondents (89.9%) were favorably disposed towards agricultural biotechnology. There is no significant relationship between sex (?2=2.97, p > 0.05), marital status (?2=2.495, p 0.05), and qualification (?2=3.032, p > 0.05) and scientists perception about agricultural biotechnology. Religion significantly affects scientists perception (?2=21.44, p>0.05). Scientists perception about agricultural biotechnology does not significantly affect participation (r=-.024, p
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".