Exploring the Digital Divide: The Use of Digital Technologies in Ontario Public Schools
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
Combining data from a school principal survey with student demographics and achievement data, the present study aimed to develop a much needed understanding of ICT usage in Ontario’s K-12 public schools. Results indicated equitable first-order access to technology for schools, early integration of ICT from the earliest grades, frequent application of ICT in teaching, and an enabling effect of ICT on additional access to learning resources and distance learning. However, challenges were also uncovered in building technology infrastructure for a small fraction of schools; ensuring home access for schools with lower family incomes, smaller size or from remote regions; and providing teachers with professional development for choosing online materials and adopting emerging ICT-enabled teaching practice. Furthermore, this study highlighted the importance of parent involvement in ICT usage and the potential beneficial linkage between ICT usage and student learning achievement.
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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 | 0.000 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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