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Record W1982780199 · doi:10.1310/tsr1801-47

Recovered or Recovering: Negotiating Rehabilitation After Stroke

2011· article· en· W1982780199 on OpenAlexaff
Maria I. Medved

Bibliographic record

VenueTopics in Stroke Rehabilitation · 2011
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsRehabilitationStroke (engine)Physical medicine and rehabilitationNegotiationMedicinePsychologyPhysical therapyPolitical science

Abstract

fetched live from OpenAlex

The role of narrative discourse has been increasingly recognized as crucial to all partners involved in the rehabilitation process after acquired brain injury. Particularly within the family, narrative offers an experiential space for meaning-making. To better understand this joint meaning-making process, a narrative-discursive methodology was used to analyze a family's conversation that took place 1 year after the mother had a stroke. In one narrative, a particular incident was used to illustrate that the mother has recovered; in another narrative, the same event was used to demonstrate that the mother was still recovering. The 2 narratives are associated with different rights, responsibilities, and rehabilitation trajectories. To holistically understand the rehabilitation process, health professionals need to be aware of the often hidden narrative meaning-making processes that take place within the family.

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.

How this classification was reachedexpand

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.090
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.285
Teacher spread0.258 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2011
Admission routes1
Has abstractyes

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