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Record W4311454638 · doi:10.7202/1094879ar

Archival Harm Reduction

2022· article· en· W4311454638 on OpenAlexvenueaboutno aff
Krystal Payne

Bibliographic record

VenueArchivaria · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismStewardship (theology)AutonomyCitizen journalismAgency (philosophy)SociologyHarmPolitical sciencePublic relationsLawEnvironmental ethicsSocial sciencePolitics

Abstract

fetched live from OpenAlex

Canadian archives arose from and help maintain white supremacist and settler-colonial frameworks. The inequitable power relations that exist in archives and archival practices contribute to the harms done to Indigenous people and communities; 1 they do so through the ongoing entrenchment of settler colonialism and the participation in extractive colonialism that occur within the processes of archiving and through the systemic racism that comes along with these processes. This article lays out the beginnings of a theoretical framework for an archival harm-reduction approach for managing records by, about, and for Indigenous people and communities that are held in settler archival institutions and managed by settler archivists. Built upon an explicit acknowledgement of the harm that can occur within archives and through archival practices, and connecting public health harm-reduction concepts with Indigenous scholars’ ideas around relationality and power, this framework conceptualizes a process for shifting archival power by building relationships to ensure that the people and communities that records are about or from whom records originate are meaningfully involved in the stewardship of such records. The core harm- reduction concept of involving people and communities as the experts in their own lives (and records) is extended to archival practice – touching on topics such as consent, agency, autonomy, and social justice as well as on practices that are community-based, participatory, and reparative – helping to further articulate a person-centred archival theory and practice and illuminating the fact that settler archives cannot simply redescribe their way out of white supremacy.

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)0.001
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: none
Teacher disagreement score0.845
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0130.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.020
GPT teacher head0.309
Teacher spread0.289 · 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

Citations1
Published2022
Admission routes2
Has abstractyes

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