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Record W2891670557 · doi:10.3138/jcs.2017-0073.r1

On the Call for a Residential Schools National Monument

2018· article· en· W2891670557 on OpenAlexvenueaboutno aff
Trina Cooper-Bolam

Bibliographic record

VenueJournal of Canadian Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHonourIndigenousWitnessCommissionSettlement (finance)National monumentGovernment (linguistics)Public administrationLawHuman settlementCall to actionSociologyRoyal CommissionArchaeologyPolitical scienceHistoryBusiness

Abstract

fetched live from OpenAlex

In its final report, the Truth and Reconciliation Commission of Canada called “… upon the federal government, in collaboration with Survivors and their organizations, and other parties to the Settlement Agreement, to commission and install a publicly accessible, highly visible, Residential Schools National Monument in the city of Ottawa to honour Survivors and all the children who were lost to their families and communities.” As we reckon with this “call to action” number 81, and bear witness to recent and ongoing public repudiation of contentious monuments, it becomes apparent that the logic of such a monument must be questioned. On the surface, it would appear that a counter or therapeutic monument (for which we have models) might best suit call 81’s objectives. I argue that the 144 Indigenous-led commemoration projects funded through the Indian Residential Schools Settlement, which reflect contemporary Indigenous commemorative approaches, forms, and practices for remembering and healing from traumatic pasts and their ongoing legacies, are those most relevant to the Residential Schools National Monument project. They can inform its process, design, siting, and programming, which may enable it to resist, counter, redefine, and perhaps even decolonize the “national monument.” In this article, I both critique call 81 and seek to contribute to this possibility.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.057
GPT teacher head0.372
Teacher spread0.315 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2018
Admission routes2
Has abstractyes

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