Reimagining intersectionality in environmental and sustainability education: A critical literature review
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.
Bibliographic record
Abstract
We seek to understand how issues of intersectionality are addressed in environmental and sustainability education (ESE) literature, focusing on how gender is discussed in relation to other social identities such as class, race, sexuality, and ability. Our analysis draws from feminist and decolonizing frameworks, and uses intersectionality to examine how ESE literature addresses issues as interconnected. Intersectional analysis originates from Black feminist perspectives on how social identities/subjectivities collide and collude to reproduce systemic and unique forms of oppression. This article contributes to this critical framework by incorporating considerations of Indigenous interconnectivity and land-based sovereignties. We begin this literature review by providing a background of intersectionality and interconnectivity from Black feminist and Indigenous knowledge systems, and describe how these frameworks inform our analysis. We then review existing ESE literature to critically examine how researchers have utilized feminist perspectives to discuss gender in relation to class, race, sexuality, body size, and ability as well as species. This review seeks to disrupt marginalization and calls for the use of critical frameworks such as intersectionality to deconstruct and disrupt oppression in ESE.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it