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Record W7030123626

Lou Cahill interview transcripts by Peter Johansen, 1998

2024· other· en· W7030123626 on OpenAlexaboutno aff

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsVictoryGeorge (robot)Queen (butterfly)World War IIGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

Lou Cahill began his career in communications as a sports writer for the St. Catharines Standard. In 1936 he founded the Niagara News Bureau, which provided news and features stories across North America. In 1946 the company was renamed the Niagara Editorial Bureau and in 1950 became the Ontario Editorial Bureau. The public relations company handled large accounts including the Victory Bonds program during the Second World War the royal visit by King George VI and Queen Elizabeth in 1939. The company opened offices in Toronto and formed a national network organization known as Inside Canada Public Relations. In 2006 the Canadian Public Relations Society gave Cahill its lifetime achievement award and renamed the award in his honour. Cahill was also involved in many community projects, including the founding of Brock University and the coordination of the Niagara Grape and Wine Festival.

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)0.010
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 score0.142
Threshold uncertainty score0.404

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0120.002
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.1210.033

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 head0.188
Teacher spread0.176 · 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
Published2024
Admission routes1
Has abstractyes

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