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Record W4400143816 · doi:10.1080/03057240.2024.2349332

The university bundle: Unpacking the sources of undergraduate moral socialization

2024· article· en· W4400143816 on OpenAlexaffabout
Miloš Broćić, Andrew Miles

Bibliographic record

VenueJournal of Moral Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAcademic Freedom and Politics
Canadian institutionsUniversity of TorontoMcGill University
Fundersnot available
KeywordsUnpackingSocializationSocial psychologyPsychologyMoral developmentSociologyPedagogy

Abstract

fetched live from OpenAlex

Recent evidence suggests that higher education promotes moral attitudes typical of the progressive left. What aspects of the university experience contribute to this moral change? We conduct an exploratory analysis unpacking how curricular content and peer networks—two aspects of the ‘bundle’ of social influences that occur in university settings—might affect moral attitudes. Using two waves of data from students at a Canadian university (n = 232), we find some evidence that exposure to content related to social justice and involvement in left-leaning university peer circles can promote more individualistic forms of morality over ‘binding’ moral concerns for traditional social order, and heighten a more absolutist endorsement of social justice. Taken together, the university experience appears to be morally formative, but not uniformly so: moral change is shaped by a combination of factors implicating both formal and informal aspects of university life which students experience at varying rates.

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)0.007
metaresearch head score (Gemma)0.039
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.039
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.002
Science and technology studies0.0030.005
Scholarly communication0.0050.003
Open science0.0010.006
Research integrity0.0010.002
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 head0.032
GPT teacher head0.321
Teacher spread0.289 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations2
Published2024
Admission routes2
Has abstractyes

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