MétaCan
Menu
Back to cohort
Record W564942423

Physical Geography : Great Systems and Global Environments

2012· book· en· W564942423 on OpenAlexaff
William M. Marsh, Martin M. Kaufman

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEnvironmental Science
TopicScience and Climate Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPresentation (obstetrics)Earth system scienceSection (typography)NarrativeGeographyData scienceEarth scienceEngineering ethicsComputer scienceEngineeringGeologyOceanographyLinguistics
DOInot available

Abstract

fetched live from OpenAlex

The physical geography of Earth is explained through the systems that shape the planet's lands, waters, and atmosphere. Written in an easy narrative style, each chapter combines text with more than 40 single-concept illustrations. The result is a distinctive design that weaves words and illustrations together into an integrated whole. The presentation is uncluttered to keep students focused on the main themes. An entire chapter is dedicated to climate change, its geographic origins, likely outcomes, and influence on other Earth systems. A distinctive illustration program includes summary diagrams at the end of chapters that recap concepts and reinforce the systems approach. Section summaries within chapters, along with end-of-chapter review points and questions, are provided to highlight key concepts and encourage thoughtful review of the material. The instructor's guidebook highlights the core concepts in each chapter and suggests strategies to advance a systems approach in teaching physical geography.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0190.004

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 head0.011
GPT teacher head0.224
Teacher spread0.214 · 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

Citations34
Published2012
Admission routes1
Has abstractyes

Explore more

Same topicScience and Climate StudiesFrench-language works237,207