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Record W2772898338

Call the Doctor? Understanding Health Service Trends in New Brunswick, Part I, 1918–1950

2017· article· en· W2772898338 on OpenAlexaffabout
Sasha Mullally, Katherine MacDonald

Bibliographic record

VenueJournal of New Brunswick Studies / Revue d’études sur le Nouveau-Brunswick · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsDirectoryService (business)PopulationHealth servicesFrenchPolitical scienceLibrary scienceGeographySociologyDemographyBusiness
DOInot available

Abstract

fetched live from OpenAlex

This article initiates an online discussion of health service trends in New Brunswick over the course of the twentieth century. It sets the stage by describing changes in physician service access, examining registration data from the American Medical Directory for 1918 and 1950. When comparing data sets, three distinct trends emerge. First, we see the centralization of physician services in larger population centres, especially those communities with larger general hospitals. Second, a more equitable physician per population ratio between anglophone and francophone, southern and northern, regions of the province in 1950 as compared to 1918 is evident. Finally, the transnational Canada-U.S. border becomes more important in defining physician career paths (especially medical and post-graduate education) as the twentieth century unfolds.

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)0.001
metaresearch head score (Gemma)0.004
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: Empirical
Teacher disagreement score0.908
Threshold uncertainty score0.671

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.016
Science and technology studies0.0050.005
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.119
GPT teacher head0.328
Teacher spread0.209 · 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

Citations2
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueJournal of New Brunswick Studies / Revue d’études sur le Nouveau-BrunswickSame topicCanadian Identity and HistoryFrench-language works237,207