Bibliographic record
Abstract
Centering on two recent participatory archive projects, Jacqueline Hoàng Nguyễn’s The Making of An Archive (2014-present), and Regent Park Film Festival’s Home Made Visible (2017-2019), this essay examines how diasporic archives “densify” authoritative records, and allow us to think generatively about archival movements and accretions. Both projects gathered and digitised archives from members of diasporic and racialised communities. Through public calls and workshops soliciting amateur archivists’ personal and familial still and moving image troves, these projects prioritised excavating and inscribing quotidian and ephemeral records as a response to Canadian multiculturalism’s imposed silences. The essay approaches diaspora – and diasporic archives – not (just) through rubrics of loss and obsolescence, but through the concept of hauntological thickening, arguing that these two projects intervene on authoritative and singular archival narratives by densifying the latter with occluded histories, affects, and textural traces of transfer. It also examines how quotidian visual records offer hauntological refractions of official narratives, and become vehicles for imbrications of personal, familial, and national histories and discourses. Finally, the essay concludes with an exploration of how the archives engage audiences through affective and sensorial registers.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.016 | 0.029 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.001 | 0.002 |
| 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".