Perceptions on the Ground: Principals’ Perception of Government Interventions in High-Speed Educational Networking
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
The Alberta SuperNet was built to bring broadband connectivity to every school, hospital, library and provincial government office in Alberta (a large province in Canada with an area of 255,285 square miles). The supposed benefits of high-speed access have led to calls for strategic public investment on both the supply and demand sides. The provincial government, through Alberta Education, initiated a number of interventions to help make broadband technology more useful and accessible to Alberta schools and to promote use of the new technology. To investigate the perceived efficacy and awareness of these initiatives, a survey of school officials was conducted in the spring of 2005. The survey was designed to assess the interest, awareness and planned use of high-speed networking initiatives by school officials. The results of the survey show that principals place relatively high levels of importance upon these initiatives but their level of awareness of, and especially their utilization of the initiatives was much lower. There were small but significant differences among principals from large versus small schools and between principals from rural versus urban school. The paper concludes with recommendations for policy makers and administrators challenged with creating effective interventions using broadband networking.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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