Learning to Run From Narrative Foreclosure: One Woman’s Story of Aging and Physical Activity
Bibliographic record
Abstract
In this article, the authors construct a story of one woman's (Justine's) experience of learning to run within the context of a beginners group. Building on existing scholarship on narrative, aging, and physical activity, this work is part of a larger ethnographic project examining subjective accounts of the physically active aging body across the life course. Concerned with often simplistically linear problems of representation, the authors present a messy text that represents the complex and fluid nature of Justine's embodied tale. The aim is to show the intersection of biographical (storied) identity with health behavior choices and to interrogate the process of challenging narrative foreclosure. By using the emerging genre of messy text as a creative analytic practice, the authors avoid prompting a single, closed, convergent reading of Justine's story. Instead, they provoke interpretation within the reader as witness and expand the ways in which research on aging and physical activity has been represented.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.007 |
| 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".