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Record W152456809 · doi:10.5206/cie-eci.v35i1.9073

Accessing the Transition to Careers for Female Undergraduates in the Restructured University in New Brunswick

2006· article· en· W152456809 on OpenAlexvenueaboutno aff
Marilee Reimer, Adele Mueller

Bibliographic record

VenueComparative and International Education · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesSociologyPolitical scienceArt

Abstract

fetched live from OpenAlex

The reality of “non-traditional” students attending Canadian universities is increasing with the absence of the baby-boom echo generation in Atlantic Canada and several other provinces. Women students who are “first-in-the-family” face multiple disadvantages in accessing the university to career transition process, none more central than the invisibility of that career transition to students from low income families or those with no previous post-secondary education. This institutional ethnography examines how three universities in New Brunswick are addressing the specific needs of these students and the question of access to careers for non-traditional women students. La réalité des étudiants "non- traditionnels" suivant des cours aux universités canadiennes augmente avec l'absence de la génération de baby boom dans les provinces atlantiques et dans plusieurs d'autres provinces du Canada. Les femmes étudiantes qui sont les "premières de la famille" doivent faire face aux multiples désavantages quand elles cherchent un accès au processus de transition vers une carrière, dont le désavantage le plus important n'est autre que l'invisibilité de cette transition pour les étudiantes venant des familles économiquement faibles ou pour celles auxquelles manque l'enseignement post secondaire. Cette étude ethnographique institutionnelle examine comment trois étudiantes du Nouveau- Brunswick s'adressent à leurs besoins spécifiques. Elle examine aussi la question d'accès aux carrières pour les étudiantes non-traditionnelles.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score0.969

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 head0.194
GPT teacher head0.392
Teacher spread0.198 · 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

Citations3
Published2006
Admission routes2
Has abstractyes

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