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Record W4407979518 · doi:10.1111/muan.70000

Hoarding the intangible: Language as an object of colonial collecting

2025· article· en· W4407979518 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

VenueMuseum Anthropology · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Maritime and Colonial Histories
Canadian institutionsQueen's University
Fundersnot available
KeywordsHoarding (animal behavior)ColonialismObject (grammar)HistoryLinguisticsArchaeologyPhilosophyZoologyBiology

Abstract

fetched live from OpenAlex

Abstract This commentary builds on the concept of “colonial hoarding” by considering how it applies to intangible cultural practices, such as language. The central processes and practices that allow language to fit within this system are its artefactualization—its ontological transformation into something tangible—and its subsequent circulation through regimes of property and access. Building on my experience as a linguistic anthropologist working with Indigenous communities on language revitalization, I propose that these processes emerge, sometimes unintentionally, from the foundational ideologies that inform scholarly work on “endangered” languages. By using the concept of “colonial hoarding” in this way, I argue that we can further the discussion about Indigenous language reclamation by recognizing the relationship to what is happening to other types of ancestors.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.695
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
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 head0.013
GPT teacher head0.356
Teacher spread0.343 · 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