MétaCan
Menu
Back to cohort
Record W4292313863 · doi:10.3390/rel13080750

Learning from Elders about Autonomy, Meaningfulness, and Relationships

2022· article· en· W4292313863 on OpenAlexafffund
Andrew Stumpf, Erin McKenzie, V V Nguyen

Bibliographic record

VenueReligions · 2022
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of WaterlooSt. Jerome's University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAutonomyMeaning (existential)Social psychologyPsychologyIndependence (probability theory)Context (archaeology)Agency (philosophy)AppealEpistemologySociologyPolitical scienceSocial sciencePsychotherapist

Abstract

fetched live from OpenAlex

In this essay, we appeal to conceptual and empirical research to establish that autonomy and meaningfulness, when understood concretely and realistically, remain possible for frail and dependent elders. Contrary to ageist cultural attitudes, relationships render frailty and dependence compatible with the exercise of autonomous agency and with a life of meaning. This conclusion is important not only for the goal of supporting frail elders but also for developing a realistic understanding of the way relationships and spirituality are required for autonomy and meaning in the life of any human person, regardless of what state of dependence or independence they may be in. Each of us develops and continues to exist in radical dependence on others. Seeing the way autonomy and meaning manifest in the context of frailty and dependence thus helps us better appreciate what these crucial aspects of being human mean for all of us. In other words, we can learn important lessons about autonomy, meaningfulness, and relationship from the experience of our elders, and in particular from those who experience significant frailty and dependence.

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)0.009
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0090.041
Scholarly communication0.0060.013
Open science0.0010.008
Research integrity0.0030.011
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.334
Teacher spread0.282 · 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 designQualitative
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

Citations9
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueReligionsSame topicGeriatric Care and Nursing HomesFrench-language works237,207