Community intermediary organizations, community media and networking, and the Internet
Bibliographic record
Abstract
Across Canada, thousands of community "intermediary" organizations act as links between the various levels of government and Canadians, often people experiencing poverty, health problems, social isolation and other forms of disadvantage. Community intermediary organizations produce community media to publicize to the larger society the issues and events they believe are important, and they network with each other and with their community members to share information. This research explores the community media and networking activities of four of these organizations in four different Canadian provinces, and the role of the Internet in these activities. For our analysis we draw on fieldwork data including transcripts from interviews and focus groups as well as content analysis of texts produced by the organizations. Our research situates these organizations as actors within wider social movements and considers their community media and networking activities in this context. The research contributes understanding about how the Internet is used by this specific group of social movement actors - community intermediary organizations - and the challenges and opportunities for and barriers to using the Internet for their community media and networking activities.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".