Colonial erasures in gender and climate change solutions
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
Abstract Despite deliberate moves to integrate gender with climate change solutions, efforts do not go far enough to account for coloniality, thus falling short of achieving feminist, just and transformative ends. Coloniality is a political blind spot and a systematic amnesia in climate policies and actions, despite being a key driver of climate change manifested through various forms of extractivism, economic growth, and hegemonic Eurocentric knowledge production. As a corrective and a pathway toward realizing a post/decolonial feminist climate praxis, I will disclose the colonial underpinnings in (i) a persistent gender binary and women‐centered approaches; (ii) white feminist epistemic privileging; and (iii) acquiescing to masculine Enlightenment‐inspired techno‐managerialism. Furthermore, disclosures of colonial erasures entail a foundational re‐evaluation of the climate change narrative from an isolated form of natural crisis to a phenomenon embedded in complex histories of colonialism, extractivism, and capitalist exploitation that threatens the intrinsic interdependence of nature and society and planetary survival. As a result, a post/decolonial feminist climate praxis then asks that we foster and restore this interdependence by institutionalizing an ethics of socioecological care, acknowledging epistemic diversity through embodied knowledge, and carrying out intersectional justice. This article is categorized under: Climate, Nature, and Ethics > Climate Change and Global Justice Climate and Development > Sustainability and Human Well‐Being Climate and Development > Social Justice and the Politics of Development
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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