Disablement in Prince George, BC: A qualitative, holistic and participatory exploration.
Bibliographic record
Abstract
(dis)Abled people are frequently faced with barriers to their mobility when navigating the built environment, especially in colder climates yet little is known about this experience in northern BC. Using downtown Prince George as a study area, my research examines the lived experience of (dis)Ability in a northern, ageing, resource-based city and seeks to gain an understanding of what barriers are, how they impact (dis)Abled people, and why environments are disabling. Using go-along interviews, I found that barriers are often characteristics of the built and seasonal environment. Although generalizations cannot be made between individuals, the results suggest that barriers are connected to the presence of ableism in society and negatively impact (dis)Abled people participants described situations involving increased health issues, intense emotional stress and loss of autonomy. Exclusion, marginalization and discrimination are also uncovered as part of the lived experience of (dis)Ability in Prince George. I conclude that the first step towards an enabling environment is a social shift. --Leaf ii.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".