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Record W2072152579 · doi:10.1080/10427710500369945

The Oldest Extant Undergraduate Essay in Economics?

2005· article· en· W2072152579 on OpenAlexaff
A. M. C. Waterman

Bibliographic record

VenueJournal of the History of Economic Thought · 2005
Typearticle
Languageen
FieldArts and Humanities
TopicScottish History and National Identity
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsExtant taxonParagraphStirling engineSection (typography)ClassicsPhilosophyArt historyHistoryComputer scienceEngineeringLawPolitical scienceMechanical engineeringBiology

Abstract

fetched live from OpenAlex

The manuscript collection of the National Library of Scotland contains two undergraduate essays in “political economy” written for the Rev. Thomas Chalmers while he was Professor of Moral Philosophy at St Andrews University from 1823 to 1828. The first is signed “Pat. J. Stirling.” The second is unsigned, but is in the same hand. The Library attributes both manuscripts to Patrick James Stirling (1809–1891). The essays are marked with deletions and insertions, most of which appear to be by Stirling himself, and the summary appraisal at the end of each in Chalmers's own hand is signed “Thomas Chalmers.” In the transcription of the shorter essay printed in section VI below, [bracketed] words are those which have been deleted. Underlined words are those inserted by Stirling or possibly Chalmers. Stirling's erratic capitalization and hyphenation, and the indentation of his first paragraph, have been preserved.

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)0.002
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.005
Scholarly communication0.0060.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.002

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 head0.023
GPT teacher head0.209
Teacher spread0.186 · 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 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

Citations4
Published2005
Admission routes1
Has abstractyes

Explore more

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