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Record W4403292509 · doi:10.33774/apsa-2024-5g9kl

Belaying the Inevitable: On Intellectual Collaboration in the Anthropocene

2024· preprint· en· W4403292509 on OpenAlexaff
John McGuire, Yann Allard‐Tremblay

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicEnvironmental and Cultural Studies in Latin America and Beyond
Canadian institutionsMcGill University
Fundersnot available
KeywordsAppropriationAnthropoceneModernityContradictionPerspective (graphical)SociologyEpistemologyEnvironmental ethicsTourismFutures studiesAgency (philosophy)AestheticsPolitical scienceSocial sciencePhilosophyLawComputer science

Abstract

fetched live from OpenAlex

We argue that inheritors of Euro-modernity must find new ways of engaging perspectives that have been coercively displaced by the very modernising forces that now imperil the viability of all human societies. We elaborate two models of cross-cultural engagement: (1) philosophical ‘braiding' (Allard-Tremblay, 2022), per which disagreements between traditions are thematised without merging, and the possibility of irresolvable contradiction is acknowledged. Lingering concerns about appropriation and epistemic 'tourism' are then addressed by the secondary model of philosophical ‘belaying' (2). In its non-metaphorical capacity, 'belaying' is a facet of mountaineering safety, whereby the climber and the belayer mitigate the danger of falling by deploying orchestrated tension and friction through hitches and anchors. In both cases, the goal is to facilitate new self-understandings and unexpected constellations of ideas from within one’s own philosophical perspective—asking why ‘we’ persist in conducting our research or teaching in the manner that ‘we’ do.

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)0.027
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.026
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0260.103
Scholarly communication0.0210.030
Open science0.0030.038
Research integrity0.0050.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.012
GPT teacher head0.278
Teacher spread0.266 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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Same topicEnvironmental and Cultural Studies in Latin America and BeyondFrench-language works237,207