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Record W4387239562 · doi:10.1093/ornithapp/duad053

Decolonizing bird knowledge: More-than-Western bird–human relations

2023· article· en· W4387239562 on OpenAlexaff
Bastian Thomsen, Kellen Copeland, Michael Harte, Olav Muurlink, D. A. Villar, Benjamin H. Mirin, Samuel R. Fennell, Anant Deshwal, P.N. Campbell, Ami Pekrul, Katie L. Murtough, Apoorva Kulkarni, Nishant Kumar, Jennifer Thomsen, Sarah Coose, Jon Maxwell, Dane Nickerson, Andrew Gosler

Bibliographic record

VenueOrnithological applications · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsBrock University
FundersArts and Humanities Research Council
KeywordsOrnithologySociologyAcknowledgementEcologyEpistemologyEnvironmental ethicsSouthern Hemisphere

Abstract

fetched live from OpenAlex

Abstract Traditional ecological knowledge (TEK) or local ecological knowledge (LEK) has only recently gained traction as “legitimate” science in Western academic discourse. Such approaches to inclusivity continue to face institutional, sociocultural, and equity barriers to being fully accepted in academic discourse in comparison to Western-based frameworks. Postcolonial studies have attempted to rectify this Western-domination in characterizing diverse forms of bird–human relationships. However, the integration of multiple cosmologies (worldviews) and ontologies (realities) in research or management creates challenges that we discuss. We elucidate commonalities and antithetical positions between Western-derived bird knowledge and management with that of TEK or LEK in both local and global contexts. We combine ecological/ornithological studies with key terms, theories, and methods from the social sciences to integrate the approaches and facilitate understanding. For example, we follow a “theory synthesis” approach in this conceptual paper to question epistemological and ontological assumptions of bird knowledge and how we acquire it to question, “how do we move from a decolonial approach (discussions and acknowledgement) to decolonization (action)?” This paper is a product of ongoing discourse among global researchers of an academic ethno-ornithology research lab based in the United Kingdom, who partner with global collaborators. The 3 case studies draw from ongoing research in Southeast Asia, South America, and decolonializing policy efforts in New Zealand. We analyzed these case studies using a postcolonial theoretical lens to provide insights into how Western scientists can embrace TEK and LEK and actively work to decolonize ethno-ornithology and ornithology in theory and practice. Further, we discuss perceived core tenets to equity and inclusion in community-based TEK and LEK conservation projects from the Global South. Diversity, equity, inclusivity, and justice in bird–human relations and knowledge were identified as targets for systemic change within the academic institutions of Western scientists. By recognizing, discussing, and embracing non-Western cosmologies and ontologies, non-Indigenous scientists can help influence the decolonization of ethno-ornithology, ornithology, and bird–human relations through respectful, participatory, equitable, culturally considerate, and “non-extractive” community-based initiatives in partnership with local groups.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0200.111

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 head0.063
GPT teacher head0.334
Teacher spread0.271 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations8
Published2023
Admission routes1
Has abstractyes

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