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Record W4398201568 · doi:10.5751/es-14768-290211

A values-centered relational science model: supporting Indigenous rights and reconciliation in research

2024· article· en· W4398201568 on OpenAlex
Dominique David-Chavez, Michael C. Gavin, Norma Ortiz, Shelly Valdez, Stephanie Russo Carroll

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEcology and Society · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicEvaluation and Performance Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousEnvironmental resource managementPolitical scienceEnvironmental ethicsSociologyGeographyEcologyEnvironmental scienceBiology

Abstract

fetched live from OpenAlex

Addressing complex social-ecological issues requires all relevant sources of knowledge and data, especially those held by communities who remain close to the land. Centuries of oppression, extractive research practices, and misrepresentation have hindered balanced knowledge exchange with Indigenous communities and inhibited innovation and problem-solving capacity in all scientific fields. A recent shift in the research landscape reflects a growing interest in engaging across diverse communities and ways of knowing. Scientific discussions increasingly highlight the inherent value of Indigenous environmental ethics frameworks and processes as the original roadmaps for sustainable development planning, including their potential in addressing the climate crisis and related social and environmental concerns. Momentum in this shift is also propelled by an increasing body of research evidencing the role of Indigenous land stewardship for maintaining ecological health and biodiversity. However, a key challenge straining this movement lies rooted in colonial residue and ongoing actions that suppress and co-opt Indigenous knowledge systems. Scientists working with incomplete datasets privilege a handful of narratives, conceptual understandings, languages, and historical contexts, while failing to engage thousands of collective bodies of intergenerational, place-based knowledge systems. The current dominant colonial paradigm in scientific research risks continued harmful impacts to Indigenous communities that sustain diverse knowledge systems. Here, we outline how ethical standards in researcher practice can be raised in order to reconcile colonial legacies and ongoing settler colonial practices. We synthesize across Indigenous and community-based research protocols and frameworks, transferring knowledge across disciplines, and ground truthing methods and processes in our own practice, to present a relational science working model for supporting Indigenous rights and reconciliation in research. We maintain that core Indigenous values of integrity, respect, humility, and reciprocity should shape researcher responsibilities and methods applied in order to raise ethical standards and long-term relational accountability regarding Indigenous lands, rights, communities, and our shared futures.

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)0.021
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.571
Threshold uncertainty score0.737

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.382
GPT teacher head0.561
Teacher spread0.178 · 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