Online Learning and Community Cohesion: Linking 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
National governments and multi-national institutions are spending unprecedented amounts of money on ICT on improving the overall quality of school learning, andschools are increasingly expected to prepare young people for a global economy in which inter-cultural understanding will be a priority. This book explores and analyzes the ways ICT has been used to promote citizenship and community cohesion in projects that link together schools in different parts of the world. It examines the theoretical framework behind such work and shows the impact of initiatives in the Middle East, Canada, the USA, England, Northern Ireland, the Republic of Ireland and elsewhere in the European Union. This is a critical examination of the technologies that have been deployed, the professional development that has been provided and an evaluation of what constitutes good practice, particularly in terms of what collaborative learning really means for young people. Many of these initiatives have enabled young people to develop more positive relations with culturally and religiously different neighbours, but this work has just begun. Continuing international tensions over matters of identity and faith require that we better understandthe political context for such work so that we might shape future directions more deliberately and more clearly.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.008 |
| Insufficient payload (model declined to judge) | 0.002 | 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