Commentary by Terry Anderson on Littlejohn, A. (2003) Reusing Online Resources, Chapter 19: Reuse of Resources within Communities of Practice, by Rachel Harris and Carol Higgison
Bibliographic record
Abstract
div class="abstract_container"> <strong>Abstract:</strong> The Online Tutoring Skills (OtiS) e-workshop described in this chapter makes a significant contribution to knowledge of how to effectively design and manage virtual conferences or e-workshops. In addition they provide a useful discussion and exemplar of means by which the content of these forums can be re-used and repackaged for wider and continuing use. The first contribution of the paper is a description of an innovative process for soliciting and evaluating content from within the community of practice. This excellent paper ends with a discussion of a series of issues that arose during the e-conference and that could be described as a first look at best practice guide for e-workshop designers. I liked the article and I appreciate the serious conceptual and physical work put into organizing and documenting for re-use this professional development initiative. </div> <p class="editors_container"> <strong>Editors:</strong> Allison Littlejohn and Simon Buckingham Shum.
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.
How this classification was reachedexpand
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".