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Record W2611296720 · doi:10.47678/cjhe.v47i1.186454

Government-Sponsored Bursaries: Examining Financial Support for Residents to Study at Home

2017· article· en· W2611296720 on OpenAlexaffvenue
Melissa James-MacEachern

Bibliographic record

VenueCanadian Journal of Higher Education · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsBursaryHigher educationGraduation (instrument)Government (linguistics)FinanceMedical educationSociologyPublic relationsEconomic growthBusinessEconomicsPolitical scienceMedicineEngineering

Abstract

fetched live from OpenAlex

This study examines the George Coles bursary program—a financial aid plan designed to “keep residents at home” so they can attend university, by providing a bursary in their first year of university following high school graduation. The study offers insight into higher education students’ financial circumstances, thereby suggesting policy direction for governments and higher education institutions wishing to retain talent and support student financing. The findings show that the resident students considered in the study appeared to value the bursary. However, none of the key metrics related to participation in or conversion to the home institution indicated that the bursary impacted enrolment or participation. This research highlights the importance of utilizing financial aid in combination with other policies to help students access higher 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.

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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.998
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.035
GPT teacher head0.342
Teacher spread0.307 · 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.

Study designObservational
DomainIncentives
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

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Same venueCanadian Journal of Higher EducationSame topicMigration and Labor DynamicsFrench-language works237,207