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Record W7025387184

The World’s Best Typography: The 65th Annual Exhibition of the Type Directors Club (USA)

2019· other· en· W7025387184 on OpenAlexaboutno aff

Bibliographic record

VenueDocument Server@UHasselt (UHasselt) · 2019
Typeother
Languageen
FieldComputer Science
TopicBayesian Methods and Mixture Models
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionTypographyClubType (biology)
DOInot available

Abstract

fetched live from OpenAlex

The World’s Best Typography: The 65th Annual Exhibition of the Type Directors Club (TDC65) \n \n> included in traveling exhibition around the world, 33 countries between 2019 & 2020 \n> included in the publication 40th Annual of the Type Directors Club, The World’s Best \nTypography \n \n----- \n \n4 – 28 March 2020 \nST PAUL St Gallery Two \nAuckland, Nieuw Zeeland \n \n4 – 28 March 2020 \nÉcole de Communication Visuelle & \nEcole Nationale Supérieure d’Architecture de Nantes \nNantes, France \n \n25 February – 27 March 2020 \nFrancis Marion University, Hyman Fine Arts Center \nFlorence, South Carolina, USA \n \n22 February – 27 March 2020 \nAteneo De Manila University \nManila, Philippines \n \n22 November – 27 December 2019 \nDom Słów-Izba Drukarstwa (House of Words-Print House) \nLublin, Poland \n \n1 October – 1 November 2019 \nSheridan College, Trafalgar Library \nOakville, Ontario, Canada \n \n4 – 7 September 2019 \nATypI 19, Koto City \nTokyo, Japan \n \n17 July – 9 August 2019 \nThe Cooper Union \nNew York City, USA \n \n1 July – 30 September 2019 \nPJITK (Polish-Japanese Academy of Information Technology) \nWarsaw, Poland \n \n20 – 29 June 2019 \nÉcole de Communication Visuelle (EVC) \nLille, France \n \n12 June – 10 July 2019 \nTakeo Mihoncho Honten Gallery \nTokyo, Japan \n \n13 – 22 May 2019 \nUnder Stand Avenue \nSeoul, Zuid Korea

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.465
Threshold uncertainty score0.764

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0030.001
Scholarly communication0.0080.004
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.4650.202

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 head0.276
Teacher spread0.264 · 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.

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
Published2019
Admission routes1
Has abstractyes

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