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Record W2804054087

Horse Breeders Association of the County of Welland Letters Patent, 1882

2018· other· en· W2804054087 on OpenAlexaff
Chantal Cameron

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2018
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicAmerican History and Culture
Canadian institutionsBrock University
Fundersnot available
KeywordsAssociation (psychology)HistoryPsychology
DOInot available

Abstract

fetched live from OpenAlex

Letters Patent of the Horse Breeders Association of the County of Welland. Consists of four pages attached by a blue paper seal with ribbons in the upper left corner. Founding members include Joseph Garner of Pelham; John Alexander Ramsden of Humberstone; Neville Bentley Colcock of Welland; Menno Simon Beam of Willoughby; and Charles Sherk of Humberstone. It is stated that the Association is for “the purchase, sale, breeding, keeping and travelling of thoroughbred or other horses entire or otherwise”
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\nThe Association was based in the Town of Welland. Capital stock of the Association was $3000 and there were 150 shares. The document includes the signatures of John Assher, Deputy Registrar; Oliver Mowat, Attorney-General; and John Beverly Robinson, Lieut. General.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.007
GPT teacher head0.144
Teacher spread0.137 · 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.

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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