ASSOCIATIONS BETWEEN SENSORY LOSS AND SOCIAL NETWORKS, PARTICIPATION, SUPPORT, AND LONELINESS
Bibliographic record
Abstract
The effects of sensory loss on social structure and function in different age and sex groups are poorly understood. We analyzed a population based sample of 21,241 Canadian adults to determine if hearing loss (HL), vision loss (VL) or dual sensory loss (DL) were associated with social network size, social participation, availability of social support, and loneliness, respectively, and whether age or sex modified the associations. VL was associated with reduced social network size in males and low social participation in all age/sex groups. DL was associated with reduced network size and participation in 65–85 year olds. All forms of sensory loss were associated with reduced social support and loneliness. The results might be explained by mobility challenges resulting from VL and DL, and communication problems arising from HL, VL and DL. Individuals with sensory impairments should be targeted for interventions that increase social engagement and support and reduce loneliness.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".