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Record W4378070013 · doi:10.31542/cb.v5i1.2526

Covid-19 and its Impact on Hospitals

2023· article· en· W4378070013 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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCrossing Borders Student Reflections on Global Social Issues · 2023
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 and healthcare impacts
Canadian institutionsMacEwan University
Fundersnot available
KeywordsHealth careNonprobability samplingCoronavirus disease 2019 (COVID-19)Economic shortagePandemicPersonal protective equipmentEmergency departmentPsychologyHealthcare systemQualitative research2019-20 coronavirus outbreakSample (material)MedicineMedical emergencyFamily medicineNursingSociologyPolitical scienceEnvironmental healthDiseaseInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

This qualitative study explored the extent to which the Covid-19 pandemic has impacted Canadian hospitals and emergency department (ED) wait times. A purposive sampling procedure was used for this study to conduct a content analysis on a sample of 50 of the most recent and relevant comments that included reactions, personal experiences, and possible solutions towards ED wait times from a CBC News article. A coding procedure examined any frequent themes and subcategories in the comments. Results showed six consistently present categorical themes: Wait Times, Shortage of Workers, Underfunded Healthcare System, Unrelated Covid-19 Symptoms, Avoidance, and Solutions. Furthermore, additional subcategories were determined from the themes. This study analyzes the intense backlogs of surgical cases and waiting rooms, resulting in adverse patient outcomes. Additionally, this study explores the underfunded and understaffed healthcare system, the stresses healthcare workers face daily, and possible solutions to mend this broken healthcare system.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
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 head0.097
GPT teacher head0.578
Teacher spread0.481 · 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