MétaCan
Menu
Back to cohort
Record W2140234628 · doi:10.1177/0894318405280353

Persevering Through a Difficult Time During the SARS Outbreak in Toronto

2005· article· en· W2140234628 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNursing Science Quarterly · 2005
Typearticle
Languageen
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsOutbreakMiddle East respiratory syndromePerspective (graphical)MedicineCoronavirus disease 2019 (COVID-19)Social connectednessPsychologySociologyInfectious disease (medical specialty)Social psychologyDiseasePathology

Abstract

fetched live from OpenAlex

The purpose of this study was to describe the experience of persevering through a difficult time for patients, family members of patients, nurses, and allied health professionals during the severe acute respiratory syndrome outbreak. van Kaam's phenomenological research method, with the human becoming theory as the theoretical perspective, was used to gather and analyse data from 63 participants who agreed to describe a situation that illuminated their experience of persevering through a difficult time (either online or using a voicemail system). Data gathering occurred in early April 2003 in the midst of the severe acute respiratory syndrome outbreak in Toronto, Canada. The finding was the structural definition, persevering through a difficult time is dispiriting trepidation arising with witnessing suffering. It is a smothering connectedness with sequestering protection as unsettling contentment emerges amid unburdening hope. It sheds light on what is important for preparing for possible future outbreaks of this and other infectious diseases.

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.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.773
Threshold uncertainty score0.898

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 communication0.0000.001
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 head0.025
GPT teacher head0.393
Teacher spread0.369 · 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