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Record W3011028799 · doi:10.1177/0840470420909121

Health services restructuring in Alberta and the 2009 pandemic influenza—An untimely concurrence

2020· article· en· W3011028799 on OpenAlexaffabout
Richard Musto, Judy MacDonald, Anne Ulrich, Kevin Fonseca

Bibliographic record

VenueHealthcare Management Forum · 2020
Typearticle
Languageen
FieldHealth Professions
TopicPublic Health Policies and Education
Canadian institutionsAlberta Health ServicesProvincial Laboratory of Public HealthLibin Cardiovascular Institute of AlbertaUniversity of Calgary
Fundersnot available
KeywordsRestructuringPacePandemicPublic healthInfluenza pandemicEmergency managementBusinessEconomic growthOutbreakPolitical scienceMedicineCoronavirus disease 2019 (COVID-19)GeographyNursingDiseaseVirologyEconomicsInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

In the last 12 years, every Canadian province and territory has undertaken significant health services restructuring, with the pace of change accelerating recently. When the H1N1 Pandemic Influenza (PI) hit Alberta in the spring of 2009, the province had just begun a restructuring of health services of a scale unprecedented in Canada. The new province-wide entity, Alberta Health Services (AHS), was faced with mounting an effective response to a global communicable disease outbreak during a time of great organizational flux. In this retrospective, the authors reflect on challenges and opportunities presented during the AHS PI response related to the coordination of public health, laboratory services, emergency and disaster management, communications, and health services delivery. Lessons learned are shared that may be helpful to other provinces and territories as they continue to evolve their systems, so that they may be better prepared to respond to an untimely event such as 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.909
Threshold uncertainty score0.659

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.007
Scholarly communication0.0070.001
Open science0.0020.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.058
GPT teacher head0.434
Teacher spread0.377 · 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 source (direct Gemma or distilled Codex), 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
Published2020
Admission routes2
Has abstractyes

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