A Journey into the Depths of Africville Museum: Black museification and the apology paradigm
Bibliographic record
Abstract
In this paper, the authors explore the Africville museification process and how it became a contested site. Through a critical race theory (CRT) lens, we review the production of Africville as an urban slum (Nelson, 2000) that led to the creation of this memorial museified space and examine how this site is the result of an “apology paradigm” (Green, 2012) configured as a unique and isolated “error” of the “past” that is recognized and re-inscribed in mainstream Canadian history through the museum exhibition. Based on qualitative research, this study uses a narrative analysis approach documented with semi-structured interviews with key museum stakeholders, former residents and descendants from Africville, community leaders and document analysis from the museum exhibition and website. While becoming a meaningful site for anti-Black oppression and social justice, this paper discusses how the Church, which was the beating heart of Africville, is now re-imagined as a contested site reclaiming space, identity and as a tourism site for antiracism struggle.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.035 | 0.062 |
| Scholarly communication | 0.016 | 0.011 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".