Towards a Black Love and Care Ethic: Reimagining Social Work Through Black Technologies
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
The insidious impact of anti-Black racism on Black peoples remain obscured by even the most well-meaning Diversity, Equity, and Inclusion (DEI) programming and curricula. The following inquiries guide this article: What becomes possible, in clinical settings and beyond, when the needs, dreams, and abundance of Blackness and Black peoples are tended to and affirmed? What Black technologies can be employed to cultivate the fullness of this possibility? This article will introduce readers to the Black Love and Care (BLaC) Ethic, a practical framework intended to disrupt the impacts of anti-Black racism and its intersecting oppressions by shifting how clinical practitioners practice being with Blackness. The BLaC Ethic is an invitation into a worldbuilding practice that explores what is possible when systems tend to and affirm Black experiences. The article will apply The BLaC Ethic through a reimagined clinical social work lens. The BLaC Ethic will also be explored from the perspective of “black technologies,” or methods of perspectivity developed by Black peoples, such as the Afrocene, Endarkened Storywork Epistemology, and the Divine Genders Oracle Deck.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.013 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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