Intraorganizational Conditions Supporting Social Innovations by Human Service Nonprofits
Bibliographic record
Abstract
Social innovation is a distinct type of innovation that refers to the efforts of individuals and organizations that help to create opportunities that have a broader impact on a social system and/or the experiences of a vulnerable social group as a whole. This research identifies the intraorganizational conditions that support or hinder efforts by human service nonprofits to undertake social innovations. Utilizing a cross-sectional research design with a random sample of human service nonprofits ( N = 165) in Pennsylvania, the study identifies internal organizational conditions related to cohesion, procedures, and staff engagement that positively predict product, process, and socially transformative social innovations. This study provides empirical evidence of specific internal organizational characteristics that are supportive of social innovations in human service nonprofits. Furthermore, areas for organizational development related to leadership, staff and volunteer engagement, and procedures and processes are identified that support the development and undertaking of social innovations.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".