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Record W7043617211

Two-Spirit archives and social memory: community, indigeneity and queerness in the archives

2022· dissertation· en· W7043617211 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2022
Typedissertation
Languageen
FieldArts and Humanities
TopicDigital and Traditional Archives Management
Canadian institutionsnot available
Fundersnot available
KeywordsMainstreamArchival scienceArchivistQueerContext (archaeology)Identity (music)DecolonizationLesbianSocial memoryPeople of color
DOInot available

Abstract

fetched live from OpenAlex

Two-Spirit people have often been the subjects and victims of archives and archival power. However, efforts toward decolonization and changing ideas in archives have the potential to disrupt this narrative. In this thesis I look at the ways institutional or mainstream archives can work with community groups – specifically Two-Spirit communities – to create effective and lasting partnerships to preserve social memory in a western archival format. I begin by sharing the words of several Two-Spirit people who have spoken about what that identity means to them as a way to emphasize what non-Two-Spirit archivists do not know and cannot know about what being Two-Spirit means. This necessary knowledge also serves as the basis to discuss some of the other implications for archiving Two-Spirit records. I then profile four Queer archives, ONE, ArQuives, Lesbian Herstory Archive and rukus! to provide context for how these archives come together, what their relationships with institutions are like and what some of the causes for collecting are. Last, I discuss practical ways for mainstream or institutional archives to build effective partnerships with Two-Spirit communities using the Two-Spirit Archives at the University of Winnipeg Archives as a case study. I use Michelle Caswell’s survivor-centred approach as a way to offer suggestions for archives wanting to build these kinds of relationships and evaluate the success of the Two-Spirit Archives at the University of Winnipeg.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.573
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.026
GPT teacher head0.208
Teacher spread0.182 · 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 designQualitative
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

Citations0
Published2022
Admission routes1
Has abstractyes

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