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Record W4384560892 · doi:10.7202/1101623ar

A Room All Her Own: An Aged Care Story

2023· article· en· W4384560892 on OpenAlexaff
Catherine Dhavernas

Bibliographic record

VenueDalhousie French Studies · 2023
Typearticle
Languageen
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsQueen's University
Fundersnot available
KeywordsStorytellingBiographyResource (disambiguation)SociologyHistoryPsychologyNarrativePublic relationsVisual artsAestheticsPolitical scienceLiteratureArtComputer scienceArt history

Abstract

fetched live from OpenAlex

The Biography Project is a research and teaching initiative that has allowed university students to assist older persons living in isolated rural communities or long-term residential care in Australia in the telling and writing of their life story. Storytelling is valuable for individuals in later life as a means of reflecting on their past, addressing past and present challenges, connecting with others, sharing invaluable insight with younger generations and acquiring a renewed sense of worth through the process. Focusing on the story of Merle, an aged care resident who for a year and a half shared her story with the author while confined to a room of her own, the article explores the specific impact of the storytelling process as it plays out for both the teller and the listener. While doing so the article suggests that life stories like Merle’s, that convey perspectives, experiences and knowledge from a time that is no longer, might have a place within and provide a worthwhile resource for the field of literary studies including the study of the spatial dimension.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.008
Scholarly communication0.0040.004
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.078
GPT teacher head0.377
Teacher spread0.298 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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