MétaCan
Menu
Back to cohort
Record W3137948929 · doi:10.1515/multi-2020-0075

How words make the world: language materialities and the circulation of the Sakha algys

2021· article· en· W3137948929 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

VenueMultilingua · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSwearing, Euphemism, Multilingualism
Canadian institutionsMacEwan University
Fundersnot available
KeywordsMateriality (auditing)LinguisticsPoetryInvocationEmbodied cognitionSalientSociologyHistoryLiteratureAestheticsComputer scienceArtPhilosophyAnthropologyArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract This article investigates contemporary uses of the Sakha language algys (blessing poems) and reveals the “old” and “new” types of language materiality present in this genre of ritual poetry. Focusing primarily on one example of algys shared online in 2018, I discuss how performing algys has always involved close interconnection between language and the material world and present the changing contexts and forms of algys transmission that highlight both fixity and fluidity in the way speakers conceive of language and materiality. Despite the new mobilities and technologies that build upon the previously established written textual forms of this poetry—and contribute to its continued circulation and transmission—certain elements of traditional algys remains salient for speakers, reinforced by ideologies or ontologies of language that foreground the power of the (spoken) word. This is connected to the production of qualia and the invocation of chronotopes. Thus, while textual forms further enable processes of citationality as they are circulated online; the written words alone do not constitute an algys. Rather, here the importance of embodied, spoken language materiality is at the fore.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.021
GPT teacher head0.311
Teacher spread0.290 · 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