Issues in the adoption of broadband‐enabled learning
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 This paper presents one case of broadband‐enabled learning (BEL) involving geo‐culturally and organisationally diverse collaboration using music as the vehicle. Findings from five evaluations over a 15‐month period were considered in relation to issues of relative advantage, compatibility, complexity, trialability, and observability. Advantages included access to mentors, peers, and experts; support for cross‐cultural and linguistic collaboration, interaction, and exchanges; promotion of a more open classroom; and exposure to alternative and new experiences. Compatibility with existing practices was evident, however, cross‐cultural interaction presented difficulties as did synchronous communication across time zones and between institutions. BEL technologies are complex, however, users can develop a capacity to use the tools if provided with adequate support. Trialability is dependent on access to a high‐speed connection and equipment, multiple partners, development of technical expertise, and support. Use of videoconferencing and choice of subject area can enhance observability.
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 | 0.002 |
| 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 | 0.001 |
| 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