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Record W4362699990 · doi:10.1079/9781800621534.0010

Curating a decolonial guide: The<i>Detours</i>project

2023· book-chapter· en· W4362699990 on OpenAlexaff
Hōkūlani K. Aikau, Vernadette Vicuña Gonzalez

Bibliographic record

VenueCABI eBooks · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAsian American and Pacific Histories
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsArchipelagic statePoliticsSovereigntyNegotiationCritical reflectionPoetryReciprocity (cultural anthropology)DecolonizationSociologyVisual artsMedia studiesArtPolitical scienceAnthropologyLiteratureSocial scienceLawPedagogy

Abstract

fetched live from OpenAlex

This chapter meditates on the archipelagic sensibilities and knowledge that provide the foundation for the Detours project, an edited collection that subverts the guidebook authorship and authority about the islands of Hawai‘i. It braids the political history of the islands with the intellectual genealogies of postcolonial feminists writing about islands that generated the project’s conceptualisation. These political energies and formations of knowledge are reflected in the substance of the art, poetry, and essays that are curated in the collection. The chapter outlines the ethical dimensions of the project and the process of turning away from the guidebook genre toward a book that guides readers to decolonisation – a template and archive of place-based work and representations aimed at achieving ea (life, breath, sovereignty) for the Native Hawaiian people and the Hawaiian Islands. Finally, the chapter ends with a reflection on the kinds of responsibilities that island knowledges place on people who visit or live upon them, offering a relationship of reciprocity in place of extraction.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.005
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0160.004

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 head0.041
GPT teacher head0.319
Teacher spread0.278 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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