‘We don’t even have Wi-Fi’: a descriptive study exploring current use and availability of communication technologies in residential aged care
Bibliographic record
Abstract
BACKGROUND: There has been significant growth in communication technologies. However, it is unknown to what extent RACFs accommodate such technologies. AIM: To explore the use and availability of communication technologies for use by residents within RACFs in Queensland, Australia. METHODS: A descriptive, structured telephone survey. Every 10th alphabetically listed facility from a total sample of n = 462 were telephoned and staff were invited to complete the survey. RESULTS: Forty-one out of a total of 93 RACFs completed the survey. The telephone was by far the primary form of communication used by residents to communicate with family and friends (n = 40; 97.6%). Conversely, the use of web-connection communication software (Skype or similar) was uncommon. CONCLUSION: The use and availability of communication technologies is limited within RACFs, highlighting a significant lag in the uptake within the sector.
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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 | 0.005 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".