Intersectional homemaking: Bridging the social and material inequities of refugees living in climate precarity
Bibliographic record
Abstract
Climate injustice is increasingly recognized by researchers as a factor in forced migration. Less attention has been given to the climate injustices experienced by refugees in resettlement contexts. Homemaking is a useful concept for examining refugee relationships to climate injustice because of its consideration of both the social and material world (i.e. the natural and built environment). However, it is limited in its capacity to examine the structural factors that contribute to the barriers and possibilities of homemaking in climate precarious contexts. This article joins intersectionality and homemaking to demonstrate how taken together this analytical frame can illuminate socio-material inequities experienced by refugees from pre-migration to resettlement in Canada. Intersectional homemaking is presented as a key conceptual framework for exploring home/homemaking, climate injustice, and refugees within the social work discipline.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.021 | 0.021 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.021 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".