MétaCan
Menu
Back to cohort
Record W1833834617 · doi:10.29173/pandpr19835

"I Learned Nothing from Him...". Reflections on Problematic Issues with Peer Modeling in Rehabilitation

2011· article· en· W1833834617 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePhenomenology & Practice · 2011
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsnot available
Fundersnot available
KeywordsVignetteEmpathyRehabilitationPsychologyWheelchairNorwegianIntervention (counseling)NothingSocial psychologyApplied psychologyPsychiatryComputer scienceEpistemology

Abstract

fetched live from OpenAlex

Peer learning involves processes whereby inexperienced persons learn from persons with more experience. Previous research has shown the benefit of peer learning to the rehabilitation process of people with spinal cord injuries and others using a wheelchair, yet discussions of problematic aspects are scant. Thus, the purpose of this article is to highlight two problems with peer learning. By presenting a vignette elaborated from a phenomenologically oriented case study of a wheelchair skills program at a Norwegian rehabilitation unit, the problem of a naive view of empathy and the danger of inflicting symbolic violence are reflected upon. These reflections, though tentative, draw attention to the ethical responsibility of rehabilitation professionals who use peer learning as a part of their intervention.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.369
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.252
GPT teacher head0.463
Teacher spread0.211 · 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