MétaCan
Menu
Back to cohort
Record W4313437510 · doi:10.12974/2313-1047.2021.08.3

The Visually Impaired and how they Cope with Loneliness

2021· article· en· W4313437510 on OpenAlexaff
Ami Rokach, Alison Rose, David S. Berman

Bibliographic record

VenueJournal of Psychology and Psychotherapy Research · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsYork University
Fundersnot available
KeywordsLonelinessPsychologyDenialCoping (psychology)DistancingPopulationSocial distanceFaithSocial psychologyDevelopmental psychologyClinical psychologyCoronavirus disease 2019 (COVID-19)PsychotherapistMedicineDemographySociologyDisease

Abstract

fetched live from OpenAlex

Loneliness has been termed a social epidemic, especially when experienced by people with sight challenges. The present study compared how the sight challenged and the blind cope with loneliness, compared to the general population groups, amongst a total of 187 participants. The questionnaire which we used, included 34-items to which a yes/no response was requested, and assessed the various ways that people cope effectively with loneliness. The questionnaire included six subscales of coping strategies, namely, Reflection and acceptance, Self-development and understanding, Social support network, Distancing and denial, Religion faith, and increased activity. As expected, the two populations differed significantly in their subscale scores, with the visually challenged scoring higher than the general population, on Self-development and understanding and the Religion and faith subscales. Interpretation of these results and their implications are discussed in further detail.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.069
GPT teacher head0.421
Teacher spread0.352 · 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 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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Psychology and Psychotherapy ResearchSame topicUrban Green Space and HealthFrench-language works237,207