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Record W4214920629 · doi:10.4000/belgeo.52842

Disciplinary chasm: questions on identification and mending

2021· article· en· W4214920629 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

VenueBELGEO · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsScholarshipPositivismDisciplineMeaning (existential)Value (mathematics)EpistemologyIdentification (biology)SociologyPositive economicsSocial sciencePolitical scienceLawEconomicsComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

While the fracture separating human from physical geography is not new, its pervasive presence appears to hurt scholarship even more deeply than in the past. This article formulates questions about the major factors that are responsible for the current separation, and explores realistic opportunities for fracture-healing. The identified obstacles reach beyond the effects of positivism: the paper recognizes the role of differences in the meaning and value assigned to change and time. Nonlinear theory is shown to operate far from the expectations related to positivism, in innovative, fluid ways, both in physical geography and in human geography. Notwithstanding nonlinear theory’s potential to act as a builder of bridges, the article argues that neither this, nor other methodological instruments can mend the disciplinary fracture, as long as the question of the mutual recognition of value is not openly addressed. The resulting renewal and cross-fertilization are worth the effort.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.905
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.045
GPT teacher head0.380
Teacher spread0.335 · 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