Re-Defining Mothering: Experiences and Coping Strategies of Mothers with Fibromyalgia (FM)
Bibliographic record
Abstract
In this thesis, I explore how mothers with Fibromyalgia (FM) cope and manage invisible chronic illness. By addressing the invisible nature of FM, in combination with the social and cultural expectations of the idealized “good mother”, my research illustrates the multi-faceted ways FM is experienced. Intergrading perspectives from the anthropology of chronic illness and anthropology of mothering literature, I discuss topics of stigma, self-identity, and coping. Through an analysis of lived experiences of mothers with FM, I highlight the importance in recognizing how the process of diagnosis, the role of support, and the effects of stigmatization are both unique and complex. By providing nuanced accounts of mothering among those living with FM, my research explores effective strategies used to manage FM and promote more public awareness of the illness, while also offering suggestions on how to enhance the accessibility of information, resources, and services for those living with FM in Canada.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".