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
According to the 2018 Greater Los Angeles Homeless Count, there are 12,698 older adults (aged 55 and older) experiencing homelessness in the Los Angeles Continuum of Care (LAHSA, 2018). This older adult age group makes up over a quarter of the total homeless population in Los Angeles County (LAHSA, 2018). Research has found that, nationally, the share of homeless adults that are 55 and older is increasing and projected to continue growing, suggesting a "cohort effect" where homeless baby boomers are getting older and shifting the age distribution of the single adult homeless population (Culhane et al., 2018). This shift will increasingly strain homeless services and healthcare providers since older adults experiencing homelessness face a higher likelihood of adverse health outcomes than housed older adults and younger people experiencing homelessness (Culhane et al., 2018). This literature review explores research on the characteristics and unique needs of older adults experiencing homelessness and highlights potential interventions and strategies for addressing those needs, including permanent supportive housing.Click "Download" to access this resource.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.113 |
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