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Record W4238074039 · doi:10.1386/jaah.6.1.77_1

Read-aloud group Bibliotherapy for the elderly: An exploration of cognitive and social transformation

2015· article· en· W4238074039 on OpenAlexafffund
Katrina Genuis

Bibliographic record

VenueJournal of Applied Arts and Health · 2015
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsUniversity of British Columbia
FundersFaculty of Medicine, University of British Columbia
KeywordsBibliotherapyPsychologyPopulationFeelingLonelinessPsychotherapistRespite careThink aloud protocolCognitionSocial psychologyMedicinePsychiatryNursing

Abstract

fetched live from OpenAlex

Abstract There are increasing societal concerns regarding the lack of resources available to meet the multifaceted needs of the growing elderly population in the western world. In an effort to address the cognitive and social needs of this population, the author received guidance from the University of British Columbia’s Faculty of Medicine in initiating a novel form of Bibliotherapy, held weekly at a local respite-care centre. While conventional Bibliotherapy – the use of literature to promote well-being – involves private readings and reflection, the current Bibliotherapy programme involved meeting in a small group setting (from three to twelve individuals), reading aloud various types of literature (poetry, short stories, science articles, cultural fables, newspaper clips and jokes) and reflecting on the readings together. The reflection time included sharing of interpretations, discussing stimulated memories and considering relevant life issues and challenges. In observing this act of reflection, the author noted that otherwise isolated individuals discuss their feelings of loneliness and irrelevance, interact with a group, remember long-lost memories and consider stimulating topics. The dramatic success of this uniquely structured programme demonstrates that read-aloud group Bibliotherapy carried out within care centres for the elderly may have an impactful role in addressing the unmet cognitive and social needs of this population.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.727
Threshold uncertainty score0.158

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.226
GPT teacher head0.458
Teacher spread0.232 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations4
Published2015
Admission routes2
Has abstractyes

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