Trends in Technology Planning and Funding in Florida K-12 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
This empirical research investigates trends in technology planning and funding in Florida’s K–12 public schools between the 2003–04 and 2005–06 academic years. Survey items that focused on funding and planning issues on Florida’s statewide school technology integration survey were analyzed using logistic models. Results indicate a significant increase in the number of schools revising their technology plans on a regular basis; a significant increase in the frequency with which Florida’s K–12 public schools are seeking funding for technology-related initiatives; a significant increase in parent, administrator, teacher, and student involvement in the technology planning process; and a significant decline in adequate funding for software and hardware needs. In addition, schools with low proportions of economically disadvantaged students sought and were awarded significantly more funds from donations and federal and state grants. Implications for educational leadership and policy are provided.
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 | 0.001 | 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) | 0.000 | 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