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Record W2744394480 · doi:10.1111/ruso.12183

Proximity, Prosperity, and Participation: Examining Access to Postsecondary Education among Youth in Canada's Provincial North

2017· article· en· W2744394480 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueRural Sociology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsStatistics CanadaNipissing University
FundersSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsProsperityHigher educationCohortDemographic economicsPostsecondary educationSocioeconomic statusFace (sociological concept)Economic growthSocioeconomicsDemographySociologyPsychologyPolitical scienceGeographyPopulationSocial scienceEconomics

Abstract

fetched live from OpenAlex

Abstract Despite increased proportions of students attending some form of postsecondary education (PSE), some social groups continue to face significant barriers and encounter difficulties making the transition. Previous research suggests that proximity to postsecondary institutions may have a positive impact on PSE participation rates, even more so for lower‐ and middle‐income families. We know comparatively less, however, about how these processes operate for social groups in varied social and economic contexts. In Canada, many highly ranked, prestigious universities and colleges (with greater arrays of fields) tend to be clustered in large, urban centers, and in the southernmost parts of Canadian provinces, but it is not clear whether these differences impact PSE outcomes. Drawing on cycles 1 to 4 of Statistics Canada's Youth in Transition Survey (YITS−Cohort A), our findings reveal that individuals from the northernmost parts of Canadian provinces do experience difficulties accessing various types of PSE (and in the timing of doing so). Moreover, our results suggest that much of these location effects are attributable to not only economic differences in terms of parental income but also cultural and dispositional differences related to parental education and their aspirations for their children's education.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.083
Threshold uncertainty score0.889

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.353
Teacher spread0.303 · 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