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Record W6906455102 · doi:10.17605/osf.io/wpqcr

British Columbia in a Global Context (Open Textbook)

2019· article· en· W6906455102 on OpenAlexaboutno aff

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGeography Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsGlobeContext (archaeology)PhenomenonHuman geographyOrder (exchange)Global South

Abstract

fetched live from OpenAlex

This first year Geography textbook takes a holistic approach to Geography by incorporating elements of physical, human and regional geography, as well as bringing in methods and perspectives from spatial information science.. This textbook applies a fundamental geographical approach to understanding our globally changing world by looking at local processes which are linked to larger global processes and events. For example mining and its effects are a global issue and we can see how these unfold in BC. A further example is the recent apology to First Nation peoples on the residential school treatment, as similar events occur in the US, Ireland and Australia. Processes of urbanization, a phenomenon which people all over the globe are experiencing, can be seen in Vancouver with our discussion of the city’s development. Geography students, indeed all first year students, need to be able to critically assess their own contexts and environments in order to properly engage with our continually globalizing world. https://opentextbc.ca/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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.327
Threshold uncertainty score0.658

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0060.001
Scholarly communication0.0070.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1120.028

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 head0.021
GPT teacher head0.319
Teacher spread0.298 · 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
Published2019
Admission routes1
Has abstractyes

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