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Record W4281742427 · doi:10.3138/9781487536411-fm

Frontmatter

2022· book-chapter· en· W4281742427 on OpenAlexaffabout
Neale Smith

Bibliographic record

VenueUniversity of Toronto Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of British ColumbiaCentre for Health Evaluation and Outcome Sciences
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Alberta: A Health System Profile provides the first detailed description of Alberta's health care system and the underpinning political and social forces that have shaped it.Drawing on significant wealth from government revenues generated through the energy sector, Alberta has been able to develop an extensive public health and health care infrastructure.Alberta has used its financial resources to attract health professionals by offering the highest levels of financial compensation in Canada.However, although it spends more per capita than other Canadian jurisdictions, Alberta's health care system costs and health outcomes are mediocre compared to those of many other Canadian jurisdictions.This unexpected outcome is the consequence of the unique interplay of economic and political forces within Alberta's political economy.Through an examination of Alberta's political and economic history, and using research on the structures and services provided, Alberta: A Health Systems Profile provides a detailed description of the programs and services that constitute Alberta's health care 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.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.190
Threshold uncertainty score0.321

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8100.629

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 head0.017
GPT teacher head0.191
Teacher spread0.174 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueUniversity of Toronto Press eBooks→Same topicCanadian Identity and History→French-language works237,207→