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
Abstract Be environmentally conscious; boost your savings and your standing in the community Young Innovator for Social Justice Prize Financial Auditors seek clarity, readability of disclosures Conferences/Events Opportunity Knocks sponsors conference for job‐seekers ARNOVA draws members worldwide to Toronto Sector innovators convene in NYC Conference “aspires” to help nonprofits do more Best Practices Question stakeholders to identify best practices, raise funds Resources Workshop provides boards with basics of governance Case Western class showcases communication for women Popular volunteer guide releases its second edition Webinar probes value of the mission statement Research Report: Charitable fundraising didn't budge in first half of 2011 Employment Law It doesn't take much to support a claim Generalized complaints are sometimes enough Jury decides if accommodation is too costly Quick Looks Texas Instruments funds target arts and cultural institutions Blackbaud named to list of Software 500 Veterans' services organizations win Home Depot grants Retail giant announces new women's initiative
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 | 0.000 | 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 | 0.000 | 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) | 0.001 | 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