Promoting Philanthropy? News Publicity and Voluntary Organizations in Canada
Bibliographic record
Abstract
This paper reports exploratory data from a broader study that examines media representations of the voluntary sector in Canada. It specifically identifies the resources and organizational attributes of Canadian voluntary groups that appear to be important for receiving mainstream news coverage. The data identifies four sets of characteristics of more than 500 voluntary organizations: demographic variables, association type, noneconomic resources, and economic expenditures. These characteristics are examined in terms of their relationship to news coverage. The data suggest that area of activity is significantly related to the amount of media attention that organizations receive. However, the amount of media attention that an organization receives is most strongly influenced by its yearly budget. The implications of these findings are discussed in relation to both current debates about advocacy in the voluntary sector and important contextual developments that are transforming the communication environment in which charities and nonprofit organizations in Canada operate. We also draw comparisons to news coverage of the voluntary sector in other liberal democratic countries.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".