Listen to her: Re-finding culturally responsive poetic inquiry as home knowing for women of African descent
Bibliographic record
Abstract
In response to critical turns in knowledge production, scholars of African descent have developed culturally responsive arts-based methodologies. Congruent with culturally responsive research is incorporating home knowing practices such as the poetics of many African and Africentric storytelling practices. This article presents my reflections as a Canadian researcher of African descent on “re-finding” culturally responsive poetic inquiry to interpret, represent, and re-tell the HIV service work experiences of African immigrant women living with HIV. I argue that researchers should strive to decolonize their research with, for and by peoples of African descent by incorporating knowledge precepts and practices grounded in participants’ home knowing. Using arts-based methodologies such as poetic inquiry creates an opportunity to critically reflect on knowledge production in research: who produces knowledge, what ways of knowing are valued, and what messages are conveyed through knowledge production and dissemination.
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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 | 0.026 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.029 | 0.048 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".