MétaCan
Menu
Back to cohort

Basics of a Geographic Information System

2018· book-chapter· en· W2804558255 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueASSA, CSSA and SSSA · 2018
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGeographic Information Systems Studies
Canadian institutionsTerry Fox Research Institute
Fundersnot available
KeywordsGeospatial analysisGlobal Positioning SystemGeographic information systemVariable (mathematics)GeographyComputer scienceInformation systemGIS and public healthGIS applicationsData scienceCartographyEngineeringTelecommunicationsMathematics

Abstract

fetched live from OpenAlex

Geographic Information Systems (GIS) is a broad-encompassing term used for software that has the capacity to conduct analysis and create maps using geospatial information (i.e. data that has a known geographic location). Geographic Information Systems has been around since the 1960s but was a well-kept secret, used mainly by large corporations or research institutions. It did not become a mainstream technology until the Global Positioning System (GPS) became available in the early 1990s. The combining of the GIS, GPS, and variable-rate equipment technologies provided growers the opportunity to display maps and apply variable-rate treatments. The purpose of this chapter is to provide the components of GIS, functions of GIS, qualities of GIS, and strength and weaknesses of different systems.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.977
Threshold uncertainty score0.884

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.231
Teacher spread0.216 · 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