Canadian Advocacy 2.0: An Analysis of Social Media Adoption and Perceived Affordances by Advocacy Groups Looking to Advance Activism in Canada
Bibliographic record
Abstract
ABSTRACT One hundred and fifty-seven representatives from 63 advocacy organizations operating in Canada were surveyed to evaluate the extent to which these groups are adopting social media, and perceive that these technologies offer affordances that contribute to the advancement of activism objectives. Quantitative results of social media adoption reveal that groups are engaging with a limited selection of social media technologies (mainly Facebook and Twitter) a few times a week or more, while avoiding other options like Google+ and Tumblr. Qualitative results addressing perceived social media affordances suggest that while groups are enthusiastic about social media’s potential to strengthen outreach efforts, enable engaging feedback loops, and increase the speed of communication, they remain cautious of unproven techniques that may divert resources from strategies known to work.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".