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Record W2576835834

Alun Hughes Papers, 1793-2012, n.d. (non-inclusive)

2017· article· en· W2576835834 on OpenAlexaboutno aff
Anne Adams

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies of British Isles
Canadian institutionsnot available
Fundersnot available
KeywordsWelshMedalClubQueen (butterfly)Grammar schoolHistoryClassicsLibrary scienceArt historyMedia studiesSociologyArchaeologyPedagogyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Alun Owen Hughes was born on May 4th, 1942 in Bridgend, South Wales. He attended Cowbridge Grammar School and graduated from St. John’s College, Cambridge in 1965. He received a teaching certificate as well as an MA from Cambridge. He also earned a diploma in cartography from the University College of Swansea. From 1967-1969 Alun was employed in London, England as a cartographic editor. He joined the faculty of the Department of Geography at Brock University in 1969. He also co-founded and coached the Brock Rugby Club. He retired from Brock in 2012. Alun was very involved in promoting and teaching the Welsh language in North America. His love of the language began when he was a child raised in a Welsh-speaking home. For the last 20 years of his life, Alun’s research focused on local history – primarily the history of Thorold, Ontario. He served on numerous committees, boards and historical societies. He was a very popular speaker, field trip leader and published researcher. Professor Hughes won numerous awards including: the British Cartographic Society’s Design Award in 1988; the Thorold Citizen of the Year in 2003 and the Queen’s Diamond Jubilee Medal in 2013. He was also named the Honorary Historian of the City of Thorold.

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)0.001
metaresearch head score (Gemma)0.003
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: Dataset · Consensus signal: none
Teacher disagreement score0.204
Threshold uncertainty score0.683

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2040.080

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 head0.012
GPT teacher head0.178
Teacher spread0.167 · 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
GenreDataset

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
Published2017
Admission routes1
Has abstractyes

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