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Record W2106189696 · doi:10.1123/japa.2012-0300

Learning to Run From Narrative Foreclosure: One Woman’s Story of Aging and Physical Activity

2014· article· en· W2106189696 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Aging and Physical Activity · 2014
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsMcMaster UniversityHamilton Health Sciences
Fundersnot available
KeywordsNarrativeEmbodied cognitionWitnessContext (archaeology)ScholarshipInterpretation (philosophy)Reading (process)Identity (music)Construct (python library)ForeclosurePsychologyAestheticsSociologySocial psychologyEpistemologyLiteratureHistoryArtLinguisticsLawPolitical scienceComputer science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.907
Threshold uncertainty score0.704

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.357
Teacher spread0.319 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it