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Moderators of Loneliness Trajectories in People with Systemic Sclerosis During the COVID-19 Pandemic: A SPIN COVID-19 Cohort Longitudinal Study
Chelsea S. Rapoport, Alyssa K. Choi, Linda Kwakkenbos, Marie‐Eve Carrier, Richard S. Henry, Brooke Levis, Susan J. Bartlett, Amy Gietzen, Karen Gottesman, Geneviève Guillot, Amanda Lawrie-Jones, Maureen D. Mayes, Luc Mouthon, Michelle Richard, Maureen Worron‐Sauvé, Andrea Benedetti, Scott C. Roesch, Brett D. Thombs, Vanessa L. Malcarne, Catherine Fortuné, Nancy Lewis, Karen Nielsen, Marie Hudson, Laura K. Hummers, Warren R. Nielson, Robyn K. Wojeck, Claire E. Adams, Shervin Assassi, Ghassan El‐Baalbaki, Kim Fligelstone, Tracy Frech, Daphna Harel, Monique Hinchcliff, Sindhu R. Johnson, Maggie Larché, Catarina Leite, Christelle Nguyen, Janet Pope, François Rannou, Tatiana Sofía Rodríguez Reyna, Anne A. Schouffoer, María E. Suarez‐Almazor, C. Agard, Marc André, Elana J. Bernstein, S. Berthier, Lyne Bissonnette, Alessandra Bruns, Carlotta Cacciatore, Patricia E. Carreira, Marion Casadevall, Benjamin Chaigne, Benjamin Crichi, Christopher P. Denton, Robyn T. Domsic, James V. Dunne, Bertrand Dunogué, Regina Faré, Dominique Farge, Paul R. Fortin, Jessica Gordon, Brigitte Granel-Rey, Aurélien Guffroy, Geneviève Gyger, É. Hachulla, Sabrina Hoa, Alena Ikic, Niall Jones, Suzanne Kafaja, Nader Khalidi, Kimberly S. Lakin, Marc Lambert, David Launay, Yvonne Lee, Hélène Maillard, Nancy Maltez, Joanne Manning, Isabelle Marié, Maria Martin, Thierry Martin, Ariel Masetto, A. Mékinian, Sheila Melchor Díaz, Mandana Nikpour, Louis Olagne, Vincent Poindron, Susanna Proudman, Alexis Régent, Sébastien Rivière, David Robinson, Esther Rodríguez Almazar, Sophie Roux, P. Smets, Vincent Sobanski, Robert Spiera, Virginia Steen, Evelyn Sutton, Carter Thorne, John Varga, Pearce Wilcox, Mara Cañedo Ayala, Vanessa L. Cook, Sophie Hu, Bianca Matthews, Elsa‐Lynn Nassar, Marieke Alexandra Neyer, Julia Nordlund, Sabrina Provencher
Bibliographic record
VenueInternational Journal of Behavioral Medicine · 2024
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsMcGill University Health CentreMultiple Sclerosis Society of CanadaMcGill UniversityJewish General Hospital
FundersLady Davis Institute for Medical ResearchCanadian Institutes of Health ResearchScleroderma Association of British ColumbiaScleroderma VictoriaScleroderma Society of OntarioFondation de l'Hôpital général juifCanada Research ChairsMcGill UniversityScleroderma AtlanticNational Science Foundation
KeywordsLonelinessPsychologyCohortModerationLongitudinal studyConversationQuality of life (healthcare)Clinical psychologySocial isolationCohort studyMultilevel modelMedicineDemographyGerontologySocial psychologyPsychiatryInternal medicine
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.572
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 head0.107
GPT teacher head0.396
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine 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
Citations1
Published2024
Admission routes2
Has abstractno