Bibliographic record
Abstract
Assistive technology generally refers to the diversity of technology that can help with daily living and activity participation. Assistive technology provides benefits to people of all ages, including those who are ageing well, ageing into disability, or ageing with a disability. This chapter explores issues around how best to realise the goal of more equitable access to assistive technology in Canada. It is equally concerned with what, exactly, is needed to bridge knowledge, policies, and practices in the ageing and disability fields to arrive at a clearer set of priorities to enable amore integrated system. This chapter includes four key focus areas, starting with an explanation of the importance of assistive technology to both seniors and seniors with disability, and finishing with findings that suggest the current state of access to assistive technology in Canada is patchy. By illustrating key differences in how people ageing into disability and people ageing with disabilities are viewed, this chapter suggests that a solution to some of these issues around inequitable access to assistive technology could be found in integrating the ageing and disability sectors.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.032 | 0.003 |
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".