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Record W2118525430 · doi:10.1017/s0714980800012137

Telephone Support Groups for Seniors with Disabilities

2001· article· fr· W2118525430 on OpenAlexaff
Moira Stewart, Karen Mann, Susan T. Jackson, Barbara Downe‐Wamboldt, Linda Bayers, Myrna Slater, Lettie Turner

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2001
Typearticle
Languagefr
FieldHealth Professions
TopicAging, Elder Care, and Social Issues
Canadian institutionsDalhousie UniversityCanadian Armed ForcesUniversity of Alberta
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

RÉSUMÉ On constate une augmentation de la population des aîné(e)s souffrant d'invalidité, qui sont mal soutenus et qui sont seuls. Bien qu'un groupe de soutien puisse être formé par les pairs, les aîné(e)s dont les capacités physiques sont limitées y ont bien souvent difficilement accès. Ce projet visait à établir un groupe de soutien téléphonique pour les aîné(e)s souffrant d'invalidité et à en vérifier les résultats. L'étude se composait de six questions. On a formé quatre groupes de soutien téléphonique constitué de cinq à six membres chacun ( n = 23) ayant à leur tête un spécialiste et un aîné(e). Les groupes se rencontraient une fois la semaine pendant 12 semaines. Une analyse qualitative de la transcription des appels et des interventions subséquentes des participants et des chefs a révélé une diminution des besoins de soutien, moins de solitude et une meilleure réaction face aux circonstances. La sélection, la formation et l'appui des pairs et des spécialistes ainsi qu'un bonne orientation des échanges ont été des facteurs importants du succès des groupes.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.749
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.285
Teacher spread0.264 · 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 designNot applicable
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

Citations20
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal on Aging / La Revue canadienne du vieillissementSame topicAging, Elder Care, and Social IssuesFrench-language works237,207