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 nonprofit sector has become increasingly reliant on paid professional staff and now faces competition from the private and public sectors, which often pay higher to attract and retain workers. Although Millennials are attracted to nonprofit work, there are concerns that they will not remain committed to the nonprofit workforce due to low pay. We analyzed data from the 2011 Young Nonprofit Professionals Network Survey to examine the relationship between pay, perceptions of equitable pay, and sector-switching intentions among Millennial nonprofit workers. Although two thirds of the respondents indicate sector-switching intentions, we found no evidence that Millennial nonprofit workers, who are purported to value extrinsic and materialistic rewards, expressed sector-switching intentions on account of pay. However, pay influences the sector-switching intentions of Millennial nonprofit managers and those with advanced education. Our results suggest that the nonprofit sector may be facing challenges in attracting and retaining Millennial managers because of low pay.
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 | 0.003 | 0.003 |
| 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 | 0.000 |
| Open science | 0.000 | 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 it