Aligning Digital Educational Policies with the New Realities of Schooling
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
Abstract To make sense of the changes provoked by the Covid-19 pandemic and its immediate aftermath, this paper critically examines digital education policy responses in the context of the ‘new realities’ faced by schooling. Based on seven case studies contributed by authors from Australia, India, Ireland, Italy, Japan, Canada, Sri Lanka, two key questions are addressed: (1) What are the ‘new realities’ of schooling post Covid-19? and (2) How have digital educational policies changed in response to the new realities of schooling? Findings highlight the complexity of the problem of aligning digital education policies at the macro level to the realities experienced at the meso and micro levels of schooling systems. The paper concludes with discussion of the need for, and challenges of, agile policy making at all levels (macro, meso and micro) that are necessary for schooling systems to meet the challenges and realities of a complex changing world.
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 | 0.001 |
| 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