La télésurveillance comme outil favorisant la participation sociale des personnes âgées à domicile
Bibliographic record
Abstract
Little is known as yet about the impact of telesurveillance services on social participation. To document the interaction between telesurveillance services and social participation of the elderly living at home, a study was conducted in the context of a government call center employing nurses. A focus group study was realized with elders (n = 4), caregivers (n = 6), healthcare system practitioners and industry employees (n = 7). A qualitative analysis was performed using the Disability Creation Process model and generally accepted criteria for evaluating telehealth interventions. The results showed, on the one hand, factors that facilitate the use of telesurveillance services (user's intellectual capabilities, acceptance of clinical settings, relevance of recommendations, cost of service, and accessibility) and, on the other, factors that reinforce such use (user behaviors; level of satisfaction; impact on informal caregiver; system's level of performance; technical features; and life-habit aspects such as personal transportation, sleep, housekeeping, personal care, interpersonal relationships, and recreational activities).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".