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Record W3045171129 · doi:10.1177/0008417420941782

Meaningful Activity and Boredom in the Transition from Homelessness: Two Narratives

2020· article· en· W3045171129 on OpenAlexvenueno aff
Carrie Anne Marshall, Daniel Keogh‐Lim, Michelle Koop, Skye Barbic, Rebecca Gewurtz

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2020
Typearticle
Languageen
FieldNeuroscience
TopicMind wandering and attention
Canadian institutionsnot available
Fundersnot available
KeywordsBoredomNarrativePsychologyQualitative researchQualitative propertyClinical psychologySocial psychologySociologySocial science

Abstract

fetched live from OpenAlex

Background. Few studies have examined boredom and meaningful activity during the transition from homeless to housed, and those that exist are retrospective. Purpose. To prospectively examine how meaningful activities and boredom are experienced during the process of leaving homelessness. Method. Using a mixed-methods case study design, we interviewed 13 homeless participants at baseline using a 92-item quantitative interview, followed by a semi-structured qualitative interview. Two participants were located six months later and were interviewed again using the same protocol. Quantitative data are presented descriptively. Qualitative data were analyzed using narrative analysis. Findings. Qualitative data revealed two unique narratives of boredom and meaningful activity engagement in the transition from homeless to housed, with opportunities for engagement in meaningful activity limited largely by the social and housing environments in which both participants were situated. Quantitative data indicates that boredom and meaningful activity changed little before and after homelessness. At both baseline and follow-up, boredom scores for both participants were comparable to a sample of participants who were exposed to a “boredom” condition in an experimental study ( Hunter, Dyer, Cribbie, & Eastwood, 2016 ). Implications. Formerly homeless persons may struggle to engage in meaningful activity, and boredom may negatively affect mental well-being. Research with larger samples is needed.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.183

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.160
GPT teacher head0.341
Teacher spread0.181 · 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 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

Citations37
Published2020
Admission routes1
Has abstractyes

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