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Record W2082177436 · doi:10.12927/hcpol.2013.21637

The Continuing Saga of Emergency Room Overcrowding: Are We Aiming at the Right Target?

2010· article· en· W2082177436 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

VenueHealthcare policy · 2010
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsHôpital Charles-Le Moyne
Fundersnot available
KeywordsOvercrowdingModalitiesHealthcare systemHealth careMedical emergencyBusinessMedicinePolitical scienceSociologyLaw

Abstract

fetched live from OpenAlex

Emergency room utilization in Canada is considerably higher than in other industrialized countries. Despite significant investments, recurrent emergency room crises persist. Focusing particularly on the situation in Quebec, this paper examines the evolution of Canada's and Quebec's healthcare systems over the past 40 years and identifies the key developments that resulted in today's problems and the challenges that must be addressed. In this historical overview, we argue that emergency room problems arise from past decisions that gave hospitals a predominant role in the healthcare system and partly modified their original mission, as well as from counterproductive funding modalities. Other decisions have also weakened primary care services, which are strongly focused on acute health problems and are poorly coordinated with the rest of the system. Symptomatic remedies have only eased the pressure on emergency rooms, but the real solution is more complex and must address the historical residues that are paralyzing our 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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.719
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.067
GPT teacher head0.440
Teacher spread0.373 · 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