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Geography Taught as if It Matters

2019· article· en· W2990387980 on OpenAlexvenueno aff
Stephen J. Thornton

Bibliographic record

VenueEncounters in Theory and History of Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGeography Education and Pedagogy
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Subject (documents)Subject matterCitizenshipSociologyGeographyEnvironmental ethicsPedagogyPolitical scienceCurriculumLibrary scienceComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

Nel Noddings (2013, 2015) argues there is no school subject more crucial than geography for making “better adults” who will serve as caring and responsible stewards of planet Earth. This perspective assigns geography a far greater role in school (and college) programs than in many places today. In this essay, I elaborate what such a perspective could mean. Specifically, I explore how relationships—both among humans and in subject matter—enable a geographic education that reaches young people. As touchstones for discussion, I draw on two propositions Noddings repeatedly advances: (1) geography considered as a study of the earth as the “home” of humans and other living things provides a sound basis for the selection of topics for study, and (2) children’s interests “employed wisely will lead to knowledge and attitudes that are adequate for personal fulfillment and for citizenship” (Noddings, 2012, p. 194).

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 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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.816
Threshold uncertainty score0.997

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.303
Teacher spread0.294 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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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