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Record W4387102746 · doi:10.3389/fhumd.2023.1144668

Reflexivity, embodiment, and ethics of care in rangeland political ecology: reflections of three feminist researchers on the experience of transdisciplinary knowledge co-production

2023· article· en· W4387102746 on OpenAlexfundno aff
Federica Ravera, María E. Fernández‐Giménez, Elisa Oteros‐Rozas

Bibliographic record

VenueFrontiers in Human Dynamics · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland Management and Livestock Ecology
Canadian institutionsnot available
FundersMAVA FoundationAXA Research FundUniversity of Victoria
KeywordsReflexivitySociologyParticipatory action researchPolitical ecologyPoliticsAction researchSocial sciencePolitical sciencePedagogyAnthropology

Abstract

fetched live from OpenAlex

Although there is a growing interest in transdisciplinary knowledge co-production approaches applied to rangeland political ecology, the research paradigms and methodologies still dominating this field of research leave little room for equitable engagement with research participants and genuine action-oriented research. In this article, we provide a reflection on new practices grounded in feminist studies of science and care ethic literature to orient transgressive and engaged transdisciplinary political rangeland ecology research. Feminist epistemologies call for reflection on who produces knowledge and how such knowledge is used and shared. Feminist practices, such as reflexivity, embodiment, reciprocity, and care, cultivate awareness of the power dynamics embedded in the research process and motivate researchers to counteract asymmetrical or extractive relationships when we identify them. We first introduce the scholarship that inspires key principles of our feminist research approach and then reflect on our experiences as researchers and as activists working with Spanish and Catalan networks of women pastoralists. Three research questions guide our reflective process: (i) how can feminist theories of knowledge co-production contribute to rangeland political ecology; (ii) how can feminist methodologies be applied in practice so that collaboration between women pastoralists, their organizations, and researchers is mutually reinforcing, care-full, and action-oriented; and (iii) what are the challenges and limitations of our experiences to foster transformation and emancipation in knowledge co-production processes?

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.078
GPT teacher head0.398
Teacher spread0.320 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations13
Published2023
Admission routes1
Has abstractyes

Explore more

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