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
Conventional wisdom regarding nonprofit firms is that the absence of a profit motive renders them inefficient. However, the costs and product quality realized by profit‐taking firms is determined by how well those firms deal with a variety of internal incentive and information problems, and this should be equally true for nonprofits. This article analyzes the team incentive problem in nonprofit organizations. Holmstrom (1982) showed that the introduction of a budget‐breaker into a team permitted the creation of incentives to provide efficient effort when it is otherwise impossible. A similar result obtains for a nonprofit team, but the role of principal differs from that found in profit‐taking teams. It is shown that any of: donors, government regulators, or Trustees can fulfill this role in a nonprofit team. One implication of this is shown to be that nonprofit firms may indeed pay employees less than otherwise identical employees earn in identical jobs in profit‐taking firms.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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