United States Registered Nurses Self-report of Access to the Web
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 aim of this study was to identify the proportion and characteristics of Registered Nurses who reported having had an access to the Web in the year 2000 National Sample Survey of Registered Nurses. We conducted a secondary data analysis using more than 25 000 respondents to the year 2000 National Sample Survey of Registered Nurses. Using bivariate and logistic regression, we examined the association of reporting access to the Web with demographic, educational, and other characteristics of Registered Nurse respondents to the survey. We found that several factors were associated with the increased likelihood of Registered Nurses' reporting having had an access to the Web in the year 2000. These included race/ethnicity, marital and family status, highest level of nursing education, current enrollment in a nursing education program, annual household income, and continuing education in informatics. The likelihood of reporting having had access decreased with sex, age, experience since first nursing degree, and primary job responsibility. The results of this study indicate that having access to the Web enhances Registered Nurses' participation in professional development and continuing education opportunities.
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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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