The Canadian Research Alliance for Community Innovation and Networking (CRACIN): A Research Partnership and Agenda for Community Networking in Canada
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
The Canadian Research Alliance for Community Innovation and Networking (CRACIN) is a collaborative partnership amongst academic researchers in Canada, international researchers in Community Informatics, the three principal federal government departments promoting the "Connecting Canadians" agenda, and community networking practitioners in Canada. CRACINs substantive goal is to review the progress of community-based information and communications technology (ICT) development in the context of Canadian government programs promoting the development and public accessibility of Internet services. Central issues to be explored include the sustainability of community networking initiatives, along with an examination of how the Canadian community-based initiatives contribute to: the amelioration of "digital divides"; the enhancement of economic, social, political and cultural capabilities; the creation, provision, and use of community-oriented learning opportunities; and the development of community-oriented cultural content, open source software, learning tools and broadband infrastructures. The over-arching goal of our research is to begin the systematic documentation and assessment of the development of community-oriented ICT capacity and services contributing to local learning, to the strengthening of relations in and between communities, and more generally to community-focused social and economic development in Canada.
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 | 0.058 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.013 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.005 |
| 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