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Record W4410833113 · doi:10.3366/irss.2025.0044

Westminster Politicians and Rectorial Elections in Scotland's Universities, 1820–1920

2025· article· en· W4410833113 on OpenAlexvenueno aff
Gordon Pentland

Bibliographic record

VenueInternational Review of Scottish Studies · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsnot available
Fundersnot available
KeywordsCONTESTProfessionalizationPoliticsPolitical scienceGeorge (robot)Period (music)Economic historyHistoryGeneral electionMedia studiesPublic administrationLawSociologyArtArt historyAesthetics

Abstract

fetched live from OpenAlex

This article focuses on the relationship of Westminster politicians to rectorial elections at Scottish universities between the first obviously ‘political’ contest at Glasgow in 1820 and Lloyd George’s triumph in Edinburgh in 1920. It argues that the widely reported return of Sir Robert Peel at the University of Glasgow in 1836 underlined the partisan political potential of the elections and established many of the features of the subsequent elections at Glasgow and elsewhere. After mid-century, such political contests – often fierce and bipartisan – were increasingly normal following the Universities (Scotland) Act 1858, and the article examines how rectorial contests functioned to offer parliamentarians and their supporters a range of opportunities. Finally, the article engages in a closer examination of two rectorial contests towards the end of the period to indicate how far these had become sites of professionalization and training grounds for aspiring politicians by the early twentieth century.

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)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.223
Threshold uncertainty score0.443

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0080.011
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.028
GPT teacher head0.322
Teacher spread0.294 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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