“Our Story is Your Story”: Examining Recent Scholarship on Indigenous and Black Commemorations with a Nova Scotian Focus
Bibliographic record
Abstract
Abstract: Depuis les années 1960, les études muséales et commémoratives ont délaissé les récits axés uniquement sur la colonisation pour favoriser l’inclusion des points de vue des Autochtones et des Noirs. Bien que certains critiques aient condamné l’utilisation abusive que des institutions font de la décolonisation et de la diversité comme des mots à la mode au lieu d’entretenir un dialogue avec les créateurs et leurs communautés, on a observé en Nouvelle-Écosse des progrès considérables au sein des institutions et dans les espaces publics de la province, comme en font foi l’embauche de spécialistes de la commémoration issus des communautés noires et autochtones, la création d’expositions et de musées ou de centres axés sur les perspectives de celles-ci, et la réappropriation d’espaces publics tels que des parcs, des rues et des édifices. Abstract: Since the 1960s, there has been a shift in commemoration and museum studies away from settler-only narratives and towards institutional inclusion of Indigenous and Black perspectives. While some critics have condemned institutional misuse of decolonization and diversity, in Nova Scotia there has been meaningful engagement with Black and Indigenous creators and their communities in the province’s institutions and public spaces. This is evidenced by the hiring of Indigenous and Black commemoration professionals, the creation of exhibits and museums/centres that focus on these perspectives, and the ongoing reclamation of public spaces such as parks, streets, and buildings.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.031 | 0.025 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".