Engaging in the disablement process over space and time: narratives of persons with multiple sclerosis in Ottawa, Canada
Bibliographic record
Abstract
This article presents an interpretive analysis of the narratives of 15 men and women who have been diagnosed with multiple sclerosis (MS) living in the city of Ottawa, Ontario, Canada. Relatively little is known about how people who are affected by MS cope with the challenges posed by social and physical barriers in their environment. Our research investigates two objectives: (1) to explore how those who have developed MS cope with their disease and resulting impairments, both in terms of the bodily experiences of becoming a chronically ill person and in terms of how they cope with changing relationships, changing identities and challenges in their physical environment; and (2) how they engage in the process of disablement over time and space as a result of these changing social and spatial relationships. We argue that the physical body and its social placings in public and private spaces are intertwined and both affect experiences of health, ability, impairment, disability and chronic illness. We further argue that these relationships are experienced across time and space, and in place, as people who have developed a chronic illness, such as MS, engage in, with and through the process of disablement. This article demonstrates the need for researchers to pay more attention to the role and significance of the simultaneity of space, place and time in shaping the experiences of people with disabilities and chronic illnesses, as it has been shown that these variables played a significant role in regulating the everyday experiences of this study's respondents.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.042 | 0.019 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| 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".