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Record W2019190205 · doi:10.1080/02601370.2010.523944

Educational expansion or credential inflation? The evolution of part‐time study by adults at McGill University, Canada

2010· article· en· W2019190205 on OpenAlexaffabout
Scott McLean, Heather Rollwagen

Bibliographic record

VenueInternational Journal of Lifelong Education · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCredentialHuman capitalSociologyEconomicsHuman capital theoryHigher educationSocial capitalEconomic growthSocial sciencePolitical science

Abstract

fetched live from OpenAlex

Part‐time students have accounted for a significant proportion of rising participation in higher education in many countries. The objectives of this paper are to enrich the empirical literature concerning the inclusion of part‐time adult learners in higher education, and to assess the two competing theoretical frameworks that have emerged to explain the international expansion of higher education in recent decades: human capital theory and social exclusion theory. Human capital theorists argue that increasingly complex demands of economies and workplaces have caused the expansion of educational provision. Theorists of social exclusion argue that increasingly intense competition among labour market participants has caused the inflation of educational credentials. This paper uses original, archival research to narrate the history of part‐time, degree‐credit study at McGill University in Canada. It finds that McGill provided a wide range of part‐time study opportunities in the 1920s and early 1930s, resisted the provision of such opportunities from the 1940s through the 1960s, and reinstated extensive part‐time study opportunities for adults in the 1970s. While both educational expansion and credential inflation took place at McGill neither human capital theory nor social exclusion theory can fully account for the rise, fall, and re‐birth of part‐time study for adults. To understand this evolution, more proximate causes, such as institutional politics and government funding models, must be explored. This paper raises important questions for future research, including those relating to gender and equity in the participation of part‐time students in 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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.335
Teacher spread0.326 · 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.

Study designNot applicable
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

Citations22
Published2010
Admission routes2
Has abstractyes

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