MétaCan
Menu
Back to cohort
Record W4386686567 · doi:10.1111/area.12901

Decolonising ecological research: A generative discussion between Global North geographers and Global South field ecologists

2023· article· en· W4386686567 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

VenueArea · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Geography and Geographical Thought
Canadian institutionsUniversity of Regina
FundersFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroRoyal Geographical Society
KeywordsPraxisSociologyGenerative grammarArgument (complex analysis)Human geographyCritical geographyEcologyField (mathematics)EpistemologySocial scienceEnvironmental ethicsCultural geographyBiologyComputer science

Abstract

fetched live from OpenAlex

Abstract In this article we draw on recent debates in ecology and human geography on the project of decolonising academic practice. Our objective is to address two key questions via a generative discussion across disciplines: what can ecologists learn from ongoing debates in human geography? And how might those learnings translate back into geographical praxis? We make the central argument that vibrant debates in human geography can push ecologists to take more radical steps towards a decolonial vision that, in turn, can guide geographers to a more material decolonising praxis. We build this argument by working through various dis/connections—between ecology/human geography, theory/praxis, South/North—in the wider project of decolonising academia to provoke critical reflection around the themes of (i) language and publishing; (ii) collaboration and ‘inclusion’; and (iii) the geographies of ecological research.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.036
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.006
Science and technology studies0.0030.001
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 head0.125
GPT teacher head0.398
Teacher spread0.273 · 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