THE EVOLUTION OF AN ONLINE COMMUNITY — A CASE STUDY
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 article reflects findings from a long term case study of an online community of prac- tice established through a network for the professional education of teachers in Ontario, Canada. The Education Network of Ontario/R ́eseau ́educatif de l’Ontario (ENO/REO) was created in 1992–1993 to support and connect teachers from kindergarten to grade 12 in the province of Ontario. Its mandate was to ensure that all teachers had free access to the Internet and to each other and to encourage the development of skills in the area of information and communication technology with the ultimate goal of using those skills to improve classroom practice. The study investigated whether information technology had the potential to connect teachers to each other in order to build the capacity to create networks where professional learning could take place in a cost-efficient and flex- ible time and/or place. It was found that participants were early adopters who enjoyed innovation, that online networks were supportive for learning but hard to maintain over time, and though they supported the integration of technology in the classroom, other barriers within schools could challenge this effect.
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 | 0.025 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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