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Record W4383103425 · doi:10.3389/fcosc.2023.1186399

Environmental and socio-cultural impacts of glyphosate-based herbicides: perspectives from indigenous knowledge and western science

2023· article· en· W4383103425 on OpenAlex
Heather Patterson, Ella Bowles, Susan Chiblow, Deborah McGregor, Cory Kozmik, Jesse N. Popp

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueFrontiers in Conservation Science · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicPesticide and Herbicide Environmental Studies
Canadian institutionsMount Allison UniversityAssembly of First NationsUniversity of GuelphUniversity of British ColumbiaYork UniversityUniversity of British Columbia, Okanagan Campus
FundersUniversity of British ColumbiaMount Allison University
KeywordsIndigenousGlyphosateTraditional knowledgeEnvironmental resource managementSociology of scientific knowledgeGeographyEnvironmental planningEcologyEnvironmental protectionSociologySocial scienceEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

Introduction For decades, herbicide application in commercial forestry has been a serious concern for First Nations across northern Ontario. To date, the vast majority of studies concerning the impacts of glyphosate-based herbicides have been conducted through a Western scientific lens. Indigenous knowledge systems provide holistic frameworks which acknowledge the interconnectedness of the environment and provide a holistic view of relationships between flora, fauna, environment, and humans. This socio-ecological perspective is key to understanding the wide-ranging impacts of commercial forestry on the wellbeing of Indigenous Peoples. Methods Through a knowledge sharing workshop, “Connecting Guardians in a Changing World”, we interviewed community members from First Nations across the Robinson-Huron Treaty Area and asked them to share their knowledge and concerns regarding herbicide use in commercial forestry. Based on the topics discussed in the workshop, we conducted a literature review to further investigate documented Western scientific evidence on workshop participants’ concerns. We then wove the responses of participants and Western Science to identify key concerns of participants regarding the use of glyphosate-based herbicides, identify gaps in current knowledge, and to direct future research. Results We identified three main research gaps regarding glyphosate-based herbicide impacts used in forestry: 1) research regarding the direct effects of glyphosate-based herbicide toxicity to most of the fauna and flora of the Great Lakes region of northeastern Ontario as well as its environmental persistence, 2) research regarding the indirect effects of glyphosate-based herbicides to the ecosystem and resulting impacts of trophic cascades, and 3) research regarding the impacts of glyphosate-based herbicides to Indigenous culture and community wellbeing. Discussion By weaving knowledge systems in this way, we can conduct research through an inclusive system which prioritizes the inclusion of multiple ways of knowing, addressing environmental concerns in holistic and inclusive ways which emphasize the interconnectedness of the environment, including humans therein.

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)0.000
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 score0.144
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.008
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.264
Teacher spread0.250 · 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