Understanding the Housing Experiences of Individuals with Spinal Cord Injury/Dysfunction
Bibliographic record
Abstract
Many individuals identify housing as a significant concern following a spinal cord injury/dysfunction (SCI/D). This thesis comprises a scoping review and a qualitative study, both aimed at enriching the evidence examining housing experiences for individuals with SCI/D. The scoping review identified 36 eligible studies, highlighting the housing challenges experienced by the SCI/D community. The qualitative study explored the housing experiences of individuals with SCI/D in Ontario, Canada (N=21). One over-arching theme of ‘Feeling Lucky’ as well as three main themes were identified from the qualitative data: 1) In/adequate housing “(didn’t really) meet my needs”: varying levels of housing satisfaction; 2) “Live with it”: limited choice of housing options for the SCI/D community; and 3) “Home sweet home”: strategies to enhance home comfort. The thesis advances evidence on SCI/D and housing, which may serve to inform practice and policy for this relatively understudied yet impactful issue for the SCI/D community.
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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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".