From Advocacy to Social Innovation: A Typology of Social Change Efforts by Nonprofits
Bibliographic record
Abstract
Abstract Literature describing the social change efforts of direct social service nonprofits focuses primarily on their political advocacy role or the ways in which practitioners in organizations address individual service user needs. To elicit a more in-depth understanding of the varying ways that these nonprofits promote social change, this research builds off of the innovation literature in nonprofits. It presents a model of the typology of social innovations based on the empirical findings from survey data from a random sample ( n = 241) and interview data ( n = 31) of direct social service nonprofits in Alberta, Canada. Exploratory principal factor analysis was used to uncover the underlying structure of the varying types of social innovations undertaken by direct service nonprofits. Results support a three-factor model including socially transformative, product, and process-related social innovations. The qualitative findings provide a conceptual map of the varied foci of social change efforts.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".