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Record W2886182882 · doi:10.1080/14649365.2018.1500633

Falling with Heron:<i>Kaswén:ta</i>teachings on roughening waters

2018· article· en· W2886182882 on OpenAlexaffabout
Timothy B. Leduc

Bibliographic record

VenueSocial & Cultural Geography · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsHeronIndigenousColonialismContext (archaeology)HonorSociologySustainabilityClimate changeEnvironmental ethicsGeographyPolitical scienceEcologyArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

What does Heron teach about our time of turbulent multi-scalar issues like species extinctions, climate change, and related social injustices? In this article, I consider this question by engaging the changing presence of various Herons in the wetlands of southern Ontario, Canada, in a context of colonial and modern urbanizing processes that continue to have impacts. The teachings Heron offers goes beyond critical reflections on external ecological changes, for I also symbolically relate with its wetland home as a place in midst of the Kaswén:ta or Two Row Wampum. This early treaty between Indigenous Canoe and Colonial Ship was meant to situate us on our Common Waters in a way that can honor diverse ways. Though the subsequent colonial focus on conversion of people and creation would manifest an array of impacts, I am guided back to the Two Row as a model for bringing into dialogue Indigenous and conservationist understandings. It is in the still presence of Heron that different understandings and acts emerge on what it will take to sustainably respond to those colonizing ways that continue to fuel global scale issues like extinction and climate change.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.433
Threshold uncertainty score0.862

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0130.018
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.004
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 head0.016
GPT teacher head0.243
Teacher spread0.228 · 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 designQualitative
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

Citations1
Published2018
Admission routes2
Has abstractyes

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