MétaCan
Menu
Back to cohort
Record W4385830307 · doi:10.15353/acmla.n172.5459

Cartoon-Style Poster Maps of Trans Continental Cartographers Ltd., Vancouver, B.C.

2023· article· en· W4385830307 on OpenAlexaffvenueabout
Rhys Stevens

Bibliographic record

VenueBulletin - Association of Canadian Map Libraries and Archives (ACMLA) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsStylized factStyle (visual arts)Character (mathematics)GeographyCartographyScale (ratio)AdvertisingVisual artsArtArchaeologyMathematicsBusinessGeometry

Abstract

fetched live from OpenAlex

This article provides information about the stylized poster maps created in the late 1960s and early 1970s by Trans Continental Cartographers Ltd., Vancouver, B.C. These maps, which depicted cities across Canada and the United States, contained pictorial views of popular landmarks, buildings and places of interest. The restaurants, shops, stores and other attractions portrayed often paid an advertising fee to be represented on Trans Continental’s “city character maps,” which were drawn in a quirky and humorous cartoon style at an enlarged scale.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.509
Threshold uncertainty score0.975

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0020.000
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.3310.075

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 head0.006
GPT teacher head0.181
Teacher spread0.174 · 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

Citations1
Published2023
Admission routes3
Has abstractyes

Explore more

Same venueBulletin - Association of Canadian Map Libraries and Archives (ACMLA)Same topicCanadian Identity and HistoryFrench-language works237,207