Simulation and microwave measurement of the conductivity of carbon nanotubes
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 Black populations, often treated as ethnically homogenous, face a constant challenge in accessing and utilizing healthcare services. This study examines the intra-group differences in health-seeking behavior among diverse ethnic subgroups within Black communities. A cross-sectional analysis included 239 adults ≥18 years of age who self-identified as Black in the United States and Canada. Multiple logistic regression assessed the relationship between health-seeking behaviors and ethnic origin, controlling for selected social and health-related factors. The mean age of the participants was 38.6 years, 31% were male, and 20% were unemployed. Sixty-one percent reported a very good or excellent health status, and 59.7% were not receiving treatment for chronic conditions. Advancing age (OR = 1.05, CI: 1.01-1.09), female gender (OR = 3.09, CI: 1.47-6.47), and unemployment (OR = 3.46, CI: 1.35-8.90) were associated with favorable health-seeking behaviors. Compared with the participants with graduate degrees, individuals with high school diplomas or less (OR = 3.80, CI: 1.07-13.4) and bachelor's degrees (OR = 3.57, CI: 1.3-9.23) were more inclined to have engaged in favorable health-seeking behavior compared to those with graduate degrees. Across the Black communities in our sample, irrespective of ethnic origins or country of birth, determinants of health-seeking behavior were age, gender, employment status, and educational attainment.
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 | 0.002 | 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 | 0.000 |
| Open science | 0.000 | 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 it