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Record W2006721651 · doi:10.3109/09638288.2013.859749

The cognitive process of identity reconstruction after the onset of a neurological disability

2013· article· en· W2006721651 on OpenAlexaff
Anne Gendreau, Roxane de la Sablonnière

Bibliographic record

VenueDisability and Rehabilitation · 2013
Typearticle
Languageen
FieldPsychology
TopicIdentity, Memory, and Therapy
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsIdentity (music)PsychologyCognitionSocial identity approachPsychology of selfCognitive rehabilitation therapyProcess (computing)Cognitive psychologyRehabilitationDevelopmental psychologySocial psychologySocial identity theoryComputer scienceSocial groupPsychiatryNeuroscience

Abstract

fetched live from OpenAlex

PURPOSE: Rehabilitation professionals and researchers underscore the impact of an acquired disability on identity. However, the cognitive process by which identity is transformed is understudied. The present study aims to explore the cognitive process by which personal identity is reconstructed following disability onset. METHODS: A template organizing style of interpretation was used to perform a qualitative analysis based on the Cognitive-Developmental Model of Social Identity Integration (CDMSII) using interview data from 10 participants with traumatic brain injury or traumatic spinal cord injury. RESULTS: As suggested by the CDMSII, following the accident, participants initially tend to emphasize distinctions between their pre- and post-injury conditions. Eventually, individuals are able to create cognitive connections between pre-injury self-knowledge and how they understand their new condition. Finally, in the last stage of the identity integration process, the various identity components are recognized as part of the self. Organizing data based on the three stages of this theory was found to resonate with participants and aided the comprehension of how every stage in the identity reconstruction process is intertwined with the need for continuity through life. CONCLUSIONS: The CDMSII offers a useful heuristic for understanding long-term identity reconstruction and the present research emphasizes the importance of a sense of continuity following disability onset.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.006
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.311
Teacher spread0.300 · 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

Citations17
Published2013
Admission routes1
Has abstractyes

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