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Record W1838321089 · doi:10.47678/cjhe.v42i3.1824

The Significance of Post-secondary Education for Rural Women Enrolled in Liberal Arts Undergraduate Degrees

2012· article· en· W1838321089 on OpenAlexaffvenueabout
Monique Bourgeois, Dale Kirby

Bibliographic record

VenueCanadian Journal of Higher Education · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsLiberal arts educationThe artsSociologyLiberal educationRuralityGender studiesHigher educationExperiential learningRural areaSocial sciencePedagogyPolitical scienceLaw

Abstract

fetched live from OpenAlex

The significance of post-secondary education is investigated for rural Newfoundland women enrolled in undergraduate liberal arts degree programs. Data collection for this research involved comprehensive, detailed semistructured biographical interviews with rural women studying liberal arts disciplines during the 2006–2007 academic year at Memorial University of Newfoundland. The data analyses drew on theories of experiential and embodied knowledge, social constructionist theories of gender and place, and research on women, rurality, and post-secondary education. The findings indicate that, overall, a liberal arts degree is a part of a search for a new home for the women interviewed. Images and experiences of life as women in rural Newfoundland act as forces that push and pull the women to and from their homes, with varying impact. Although the women were very pleased with their choice of a liberal arts major, for most this choice did not dominate the significance of enrolling in university.

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 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)0.000
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 score0.308
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.012
GPT teacher head0.238
Teacher spread0.226 · 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 teacher head, 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

Citations4
Published2012
Admission routes3
Has abstractyes

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