Meanings and experiences associated with computer use of older immigrant adults of lower socioeconomic status
Bibliographic record
Abstract
BACKGROUND: Immigrant older adults are a substantial demographic composing 12% to 30% of older adults in the United States and Canada, yet no research has addressed the meanings associated with computer use for low-socioeconomic-status and immigrant older adults. PURPOSE: The study explored the meanings, occupational engagement, and experiences associated with computer use. METHOD: A mixed-methods approach, qualitative participatory action research (photovoice) and survey (Computer Proficiency Questionnaire), was used. Data collection consisted of narratives, focus groups, and Likert scale responses for nine participants. FINDINGS: The participants expressed the meanings they associated with computer use as freedom, personal growth, and engagement. Computers promote occupational engagement in social participation, education, and leisure. IMPLICATIONS: The findings of personal growth may inform occupational therapy interventions using computers to enable adjustment to changes related to aging and wellness. Social participation and education were motivators for computer use, which may inform computer engagement strategies for this population.
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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 | 0.001 |
| 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 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".