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Record W1999341054 · doi:10.1080/07294360.2014.956689

The Bachelor of Arts: slipping into the twilight or facing a new dawn?

2014· article· en· W1999341054 on OpenAlexaboutno aff
Deanne Gannaway

Bibliographic record

VenueHigher Education Research & Development · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCommonwealth, Australian Politics and Federalism
Canadian institutionsnot available
Fundersnot available
KeywordsBachelorThe artsValue (mathematics)Social scienceArgument (complex analysis)Relevance (law)Political scienceSociologyHumanitiesMedia studiesLawArt

Abstract

fetched live from OpenAlex

Undergraduate students have historically engaged with the humanities and social sciences through the Bachelor of Arts (BA) degree programme. Recent experiences suggest that the relevance and the value of the degree to the modern world is now being challenged: populist press questions the value of the humanities to the modern knowledge economy; public funding for teaching in the social sciences and humanities in higher education has been slashed in the UK and elsewhere; humanities and social sciences schools and departments in the USA, New Zealand and Canada rationalised and restructured; BA programmes in some Australian universities closed. All seems to suggest that the sun is setting on the BA. This paper argues that, in Australia at least, these actions have been made on the basis of a flawed understanding of contemporary BA programmes. It asserts that the contemporary BA is a very different creature to that of even the recent past. The paper offers a new definition of the contemporary Australian BA degree programme developed as a result of a comparative historical analysis research study across 39 Australian institutions. It extends an argument that perhaps the time is right for a re-examination of what is meant by ‘BA’ – before we declare the degree a relic of the past.

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)0.006
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.045
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.020
Scholarly communication0.0070.010
Open science0.0010.004
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.130
GPT teacher head0.457
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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations12
Published2014
Admission routes1
Has abstractyes

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