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Record W3172197403 · doi:10.1177/10497323211014858

The Experiences of People Living With Chronic Pain During a Pandemic: “Crumbling Dreams With Uncertain Futures”

2021· article· en· W3172197403 on OpenAlexaff
Kristina Amja, Marie Vigouroux, M. Gabrielle Pagé, Richard Hovey

Bibliographic record

VenueQualitative Health Research · 2021
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsUniversité de MontréalMontreal Children's HospitalCentre Hospitalier de l’Université de MontréalMcGill University
Fundersnot available
KeywordsFutures contractPandemicPsychologySociologyCoronavirus disease 2019 (COVID-19)Gender studiesMedicineBusiness

Abstract

fetched live from OpenAlex

People living with chronic pain experience multiple challenges in their daily activities. Chronic pain is complex and often provokes life circumstances that create increased social isolation. Living with chronic pain during the pandemic may add additional layers of complexity to their daily lives. The researchers endeavored to explore the experiences of people living with chronic pain during the COVID-19 pandemic. Researchers conducted semi-structured, open-ended interviews about how the pandemic influenced participants' lives. The interviews were recorded and analyzed using an applied philosophical hermeneutics approach. The findings were feeling socially isolated, losing their sense of livinghood, and experiencing augmented stress levels which, in most cases, aggravated their chronic pain. In addition to gaining an in-depth understanding of the needs of people living with chronic pain, these findings may guide policy decisions with the intention of improving health care access and the overall experiences of people living with chronic conditions during a pandemic.

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)0.017
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.321
GPT teacher head0.593
Teacher spread0.272 · 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 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

Citations19
Published2021
Admission routes1
Has abstractyes

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