Enhancing ICT Adoption and Use through Change Leadership: Technology Stewardship Training for Caribbean Agricultural Communities of Practice
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
Beginning in 2012, the University of Alberta in partnership with others has been undertaking participatory action research in Sri Lanka and, since 2017, in the Caribbean to foster inclusive innovation through a Joint Education and Training Initiative (JETI). The JETI is developing and testing a set of open educational resources on “technology stewardship” for resource-constrained organizations and communities in developing countries. The approach is a unique combination of social learning centred on communities of practice with action research methods intended to foster self-determination through improved “informational capabilities” as the primary outcome of development. In this article, we describe the learning objectives, design, observations, and initial outcomes of a pilot technology stewardship training course offered at the University of the West Indies in March 2018. Future plans and considerations for expanding technology stewardship training are discussed in the summary.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 it