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
Since its inception in 1996, the GrassRoots Program has been instrumental in facilitating the integration of information and communication technologies (ict) into the classrooms of Canadian schools. By linking the GrassRoots Program to the school curriculum and providing incentives for teachers to engage students in the process of cocreating electronic curriculum resources for the Internet, it has been influential in transforming classrooms into authentic centres of learning. There is overwhelming evidence supporting the concept that the Grass-Roots Program is a powerful connector between ict and new teaching theories. This paper provides an overview of innovation, a background to some of the challenges associated with large-scale innovation in the Canadian K-12 school system and the findings from a collection of 16 case studies conducted in innovative schools in Canada. An analysis of the data contained in the case studies indicates that the GrassRoots Program is having a positive impact on the diffusion of ict in the classrooms of schools that are members of the Network of Innovative Schools (nis), and it is making a significant contribution to the development of a culture of innovation. The existence of GrassRoots projects has also increased the capacity for innovation by empowering and enabling the schools and teachers to work on multiple innovations simultaneously. Also, there is sufficient evidence to show that GrassRoots has had a major impact on: teacher professional learning; teacher technology skill development; student technology skill development, student employability skill development; access to teaching resources; leadership opportunities; and school growth and development.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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