Bibliographic record
Abstract
The Montreal Cognitive Assessment (MoCA) is a free, easily accessible screener ideal for rural areas where resources are limited. We examined administration and scoring by Veteran Community Outreach Health Workers (VCOHWs); compared positive screening rates using two cutoff scores; and examined predictors of education-adjusted scores in N = 168 rural military Veterans from the Alabama Veteran Rural Health Initiative. Accuracy of administration (95 percent) and scoring (68 percent) was calculated and recommendations are offered. Higher than expected rates of positive screens were observed (40 percent using 24/30 cutoff) in this relatively young (M = 55 years) community-dwelling sample. Age, education, and race but not subjective health predicted differences in domain and total education-adjusted scores on multivariate and univariate tests. This study advances social science research in rural communities by being the first to: (1) examine MoCA scores in a rural, Deep South U.S. sample; and (2) report fidelity administration data for VCOHWs.
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.
How this classification was reachedexpand
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) | 0.000 | 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".