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Record W7017733539

Breweries lock horns over moose-themed names, logos

2017· other· en· W7017733539 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternet Archive (Internet Archive) · 2017
Typeother
Languageen
FieldSocial Sciences
TopicIntellectual Property Law
Canadian institutionsnot available
Fundersnot available
KeywordsTrademarkLogos Bible SoftwareLawsuitLock (firearm)Trademark infringement
DOInot available

Abstract

fetched live from OpenAlex

A Canadian brewery and a Vermont brewpub are locking horns in a trademark dispute over their moose-themed names and logos. A Canadian brewery and a Vermont brewpub are locking horns in a trademark dispute over their moose-themed names and logos.The Rutland Herald says Saint John, New Brunswick-based Moosehead Breweries has filed an infringement lawsuit against Hop'n Moose Brewing Co.Hop'n Moose opened in 2014 in Rutland and recently began canning its beer, which is sold in about 15 nearby stores. Moosehead was founded in 1867 and adopted its current name in 1947. It sells beer in Canada, the U.S. and abroad.Moosehead argues that similarity in names and logos could create confusion.Hop'n Moose owner Dale Patterson says he hasn't seen the lawsuit, but doesn't want to change his logo.

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.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.215
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.005
Scholarly communication0.0010.000
Open science0.0050.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0670.009

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 head0.025
GPT teacher head0.284
Teacher spread0.258 · 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