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Record W4200259102 · doi:10.1386/public_00082_1

Mnemonic Fakery and Other Interpretive Strategies: Reclaiming Shingwauk Hall through Ethical Spectacle

2021· article· en· W4200259102 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePublic · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicParticipatory Visual Research Methods
Canadian institutionsCarleton University
Fundersnot available
KeywordsExhibitionRedressSpectacleMisrepresentationForegroundingSociologyMnemonicAestheticsEngineering ethicsPsychologyLawVisual artsEngineeringPolitical scienceArt

Abstract

fetched live from OpenAlex

Providing a glimpse of the ongoing wrestle with ethics and practice involved in the Reclaiming Shingwauk Hall exhibition, an iterative residential school Survivor-led reclamation project, this article considers critical methods for implementing museal projects reckoning with difficult knowledge, and the ethical latitude they require. Doing so, it discusses risks of misrepresentation/recognition and the necessity of hopeful wounding, exposing the manipulations, fakery, and the prosthetic memories that exhibitions with great affective force produce. Exploring a range of exhibition-focused museal strategies that seek both to redress and prevent the recurrence of genocide and mass violence, this article articulates the tensions between i) affective power and cultural safety, ii) absence and presence, and iii) prosthetic and “authentic” memory that permeate the process of exhibition design. Returning to the evidentiary landscape of the Shingwauk Indian Residential School, interventions hybridizing examples discussed, putting them into the service of Survivors, offer a direction for future reclamation.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.721
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.649
GPT teacher head0.639
Teacher spread0.010 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it