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Record W2990532541 · doi:10.4324/9781351112277-13

Informal Conference with Mr. F. Bedford Glasier, on the Subject of the Lagos Railway, held at the Exchange Station Hotel, on Monday, April 27th, 1903, African Trade Section of the Incorporated Chamber of Commerce (Liverpool: C. Tinling & Co. printers, 1903).

2018· book-chapter· en· W2990532541 on OpenAlexaboutno aff
David Sunderland, Godfrey N. Uzoigwe

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsnot available
Fundersnot available
KeywordsSection (typography)Subject (documents)GeographyLibrary scienceAdvertisingComputer scienceBusiness

Abstract

fetched live from OpenAlex

With regard to railways, the authors want the railways at once. Mr. Glasier is purely a man representing the Colonial Office, and he perfectly certain, when they have heard his statement, they will be glad to help him to extend the line at Lagos. Up to the present they have not had time to educate the natives in railway matters; the native, as the reader knows, is not fond of work far from it, he resents work. As regards the extension of the Lagos Railway, as he has explained, he is interested in its ultimate success, and his view is to extend it immediately, for until it has reached its natural objective it cannot be fully remunerative. If the Government cannot do it, then they must get to work in the same manner and on the same lines as the Canadian Pacific Railway was constructed.

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)0.000
metaresearch head score (Gemma)0.000
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: Other · Consensus signal: Other
Teacher disagreement score0.102
Threshold uncertainty score0.340

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1020.017

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 head0.046
GPT teacher head0.254
Teacher spread0.208 · 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
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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