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Record W4385515858 · doi:10.32316/hse-rhe.vi0.5153

Richard Hornsey, Imperial Engineers: The Royal Indian Engineering College, Coopers Hill

2023· article· en· W4385515858 on OpenAlexvenueno aff
Ross Bassett

Bibliographic record

VenueHistorical Studies in Education / Revue d histoire de l éducation · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicIndian Economic and Social Development
Canadian institutionsnot available
Fundersnot available
KeywordsEngineeringAncient historyHistory

Abstract

fetched live from OpenAlex

Educational institutions, like most institutions, are so big and complex that normally their chroniclers are forced to make a series of focusing decisions.What time period to write about?Should the focus be on students, faculty, culture, or something else?The Royal Indian Engineering College, located at Coopers Hill, just west of London (and hereafter Coopers Hill) had a short enough life (35 years) and was a small enough school (1623 total graduates), that Richard Hornsey didn't have to make those choices: in Imperial Engineers, he is able to attempt a total history of the school.Coopers Hill was established in 1871 at the behest of the Secretary of State for India, as a college to train engineers in England for service in India.As the colonial government increased its public works programs (railroads and irrigation systems), several schemes to increase the number of engineers for the colonial service had not proven satisfactory.More broadly, the British system of producing engineers, based on apprenticeship, was proving inadequate.While Coopers Hill was designed to train engineers for India, Hornsey sees the school as the leading edge of formal classroom engineering education for Britain.But Coopers Hill was a

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 categoriesnone
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 score0.202
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.058
GPT teacher head0.253
Teacher spread0.196 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

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