Designing afro-emancipatory qualitative research with and for Black people
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
Since the tragic death of George Floyd in May 2020, there has been increased interest in anti-racist research. Consequently, several scholars are instigating qualitative inquiries in Black communities with limited preparation or expertise. This article presents a reflection regarding essential principles that can guide general and afro-emancipatory health and social sciences qualitative inquiries in Black diasporas. We contend that it is essential that researchers engage in reflexivity and consider Black ontologies, axiology and epistemologies. Furthermore, we propose the application of the following deontological principles to fulfil an ethical afro-emancipatory research framework: (a) include critical theories, (b) target the liberation of Afro-descendant peoples to enable their full participation as their whole selves in society; (c) ensure their leadership and meaningful involvement throughout the research process; (d) implement accountability mechanisms towards community members; (e) embrace intersectionality, an asset-based lens, and aspirational stance and; (f) foster healing, growth and joy.
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 | 0.091 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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