Reclaiming Relationality through the Logic of the Gift and Vulnerability
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 This article addresses the conditions that are necessary for non-Indigenous people to learn from Indigenous people, more specifically from women and feminists. As non-Indigenous scholars, we first explore the challenges of epistemic dialogue through the example of Traditional Ecological Knowledge (TEK). From there, through the concept of mastery, we examine the social and ontological conditions under which settler subjectivities develop. As demonstrated by Julietta Singh and Val Plumwood, the logic of mastery—which has legitimated the oppression and exploitation of Indigenous peoples—has been reproduced in academia, leaving almost no room for Indigenous knowledge and epistemes. In the same vein, Sámi scholar Rauna Kuokkanen reclaims and suggests the logic of the gift as a means to render academia more hospitable to Indigenous peoples and epistemes. In our view, reclaim(ing) as a concept-practice is a promising way to disrupt colonial, racist, and sexist power relations. Thus, we in turn propose to reclaim vulnerability as defined by Judith Butler in order to deconstruct masterful settler subjectivities and reconstruct relational ones instead. As theorized by Erinn Gilson, we propose epistemic vulnerability to imagine the conditions of our learning from Indigenous peoples and philosophies.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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