New Dimensions of Nonprofit Responsiveness: The Application and Promise of Internet-Based Technologies
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The incredible diffusion of the Internet is ushering in a new era of possibilities for nonprofit organizations to engage with and be responsive to their core stakeholders, yet little is known of the range and extent of such practices. To enhance our understanding of these increasingly important yet understudied phenomena, we conduct a comprehensive study of 117 community foundations' Web-based stakeholder responsiveness practices. Our examination of four key dimensions of online responsiveness reveals a number of best practices and areas of untapped potential. We argue that online stakeholder responsiveness is increasingly a strategic concern; to successfully fulfill their mission, organizations thus need to consider seriously the amount and interactivity of the content they target at each of their core constituents.
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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 | 0.000 | 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) | 0.000 | 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 it