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Record W2901770282 · doi:10.4095/293993

CanTopo Map Standards and Specifications 1:50 000

2014· report· en· W2901770282 on OpenAlexaffabout
L Charbonneau, J Donner, G Filion, N Pierce

Bibliographic record

Venuenot available
Typereport
Languageen
FieldSocial Sciences
TopicGeographic Information Systems Studies
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The CanTopo Map Standards and Specifications 1:50 000 are a description of all features and information shown on a Canadian Topographic map produced by the Collections Management and GeoInformation Division (the former Centre for Topographic Information Ottawa) of Natural Resources Canada since 2009. This includes a definition of each map feature, instructions on how each feature is compiled and a description of the cartographic symbols used to represent each map feature. Also described in this document is how "non feature" information is to be depicted on a Canadian Topographic map. This information includes the map legend, scale, border and grid as well as notes describing the magnetic declination, map projection and contour interval. This publication is often referred to as the CanTopo Specs and provides the user with a comprehensive description and illustration of all features and information portrayed on a Canadian Topographic map at a scale of 1:50 000. Before 2009 the 1:50 000 Topographic maps produced by Natural Resources Canada used the "National Topographic System (NTS) Polychrome Map Standards and Specifications".

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)0.005
metaresearch head score (Gemma)0.022
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 score0.145
Threshold uncertainty score0.398

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.022
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.017
Science and technology studies0.0050.001
Scholarly communication0.0100.005
Open science0.0050.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1190.094

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 head0.083
GPT teacher head0.358
Teacher spread0.275 · 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
Published2014
Admission routes2
Has abstractyes

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