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Record W2087112063 · doi:10.1080/00045608.2014.958388

The Dialectic of Race and the Discipline of Geography

2014· article· en· W2087112063 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

VenueAnnals of the Association of American Geographers · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Geography and Geographical Thought
Canadian institutionsQueen's University
Fundersnot available
KeywordsRace (biology)ScholarshipEnvironmentalismEnlightenmentPresidential addressSociologyDialecticHistorical geographyTRACE (psycholinguistics)Cultural geographyHuman geographySocial scienceEnvironmental ethicsGender studiesEpistemologyPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

This article uses a biographical approach to trace the ways in which major thinkers in the discipline and, in particular, past presidents of the Association of American Geographers (AAG) in their Presidential Addresses have conceptualized race. Race thinking emerged during the Enlightenment and, in geography, became more explicitly environmentalist through the nineteenth century and the early years of the twentieth century. By the mid-twentieth century, environmentalism was surpassed, but most human geographers, including cultural geographers, urban geographers influenced by the Chicago School of urban sociology, or radical geographers, tended to avoid projects on race. I want to highlight the advances in antiracist scholarship by geographers of color since the 1970s. They have received too little attention, although they influenced a new generation of geographers.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.004
Science and technology studies0.0010.006
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.009
GPT teacher head0.283
Teacher spread0.274 · 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