Bibliographic record
Abstract
This article foregrounds the activist memory projects of four Indigenous women artists, recorded as part of a digital storytelling project in 2018. These memory projects collectively represent a refusal of settler colonial frameworks and a grounding in Indigenous knowledges, which challenge institutional understandings of the archive and dominant conceptions of memory. Through close reading and analysis, we argue that these storytellers’ practices – rooted in Land, body, ancestral relations, and creativity – are not efforts to simply right the colonial archive, nor are they insertions into colonial narratives; instead, they remember differently, with distinct modes and mechanisms for accessing, producing and circulating memory. Their work, in concert with Indigenous scholars cited throughout this article, extends not only the epistemological basis of the archive. It also expands the ontology of memory: pushing memory scholars to expand their understandings of what is possible to remember, and how memory is accessed and shared.
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.
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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.040 |
| Scholarly communication | 0.013 | 0.022 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".