MétaCan
Menu
Back to cohort
Record W1550756279

Access to Primary Health Care: Does Neighbourhood of Residence Matter?

2009· dissertation· en· W1550756279 on OpenAlexfundaboutno aff
Laura Bissonnette

Bibliographic record

VenueTSpace · 2009
Typedissertation
Languageen
FieldSocial Sciences
TopicUrban Transport and Accessibility
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsNeighbourhood (mathematics)ResidencePrimary careGeographyMedicineSociologyDemographyMathematicsFamily medicine
DOInot available

Abstract

fetched live from OpenAlex

Access to primary health care is an important determinant of health. Within current research there has been limited examination of neighbourhood level variations in access to care, despite knowledge that local contexts shape health. The objective of this research is to examine neighbourhood-level access to primary health care in the city of Mississauga, Ontario. Street address locations of primary care physicians were obtained from the College of Physicians and Surgeons of Ontario (CPSO) website and analyzed using geographic information systems (GIS). A 'Three Step Floating Catchment Area' (3SFCA) method was derived and used to measure multiple dimensions of access for the population as a whole, for specific linguistic groups and for recent immigrants. This research identifies significant neighbourhood-level variations in access to care for each dimension of access and population subgroup studied. The research findings contribute to a more nuanced understanding of neighbourhood-level variability in access to health care.

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)0.008
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.283
Threshold uncertainty score0.562

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.394
Teacher spread0.375 · 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

Citations5
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueTSpaceSame topicUrban Transport and AccessibilityFrench-language works237,207