An Autoethnographic Reading of Djanet Sears’s <i>The Adventures of a Black Girl in Search of God</i>
Bibliographic record
Abstract
Djanet Sears’s play The Adventures of a Black Girl in Search of God offers a generous opportunity for the careful contemplation of the intersections between Christianity, motherhood, and blackness in Canada—a topic hitherto unexamined in scholarship about Sears’s plays. The protagonist’s search for God is a personal exploration of self in relation to each of these topics; similarly, Naila Keleta-Mae draws from the analysis of self through the article’s incorporation of methodologies employed in autobiographical performance and autoethnographic research. Specifically, the author maps her examination of Sears’s play through her own body and experiences of Christianity, motherhood, and blackness in Canada. One of the key ways that this article seeks to differ itself from traditional Canadian scholarship is by foregrounding the explicit ways the scholar’s topic of inquiry intersects with her/his/their personal lived experience. To some extent, this article is about visibility and transparency—it is an effort to make equally visible the preoccupations of the scholar in her/his/their analysis of a subject matter—in this specific case it is the unambiguous articulation of why Keleta-Mae cares about Sears’s play.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.025 | 0.018 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".