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Record W7045160596

Across mountain and sea: Bringing language to linguists

2015· other· en· W7045160596 on OpenAlexaboutno aff

Bibliographic record

VenueThe COCOON platform (University of Paris) · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsOutreachParallelsScope (computer science)Work (physics)Field (mathematics)Linguistic landscapeSpeech community
DOInot available

Abstract

fetched live from OpenAlex

We report on a project bringing Tlingit language speakers to the University of British Columbia (UBC) as resident consultants for one academic year. Spearheaded by community members, this project contributes to a model of “best practices” (Penfield et al. 2008) for community-based language research.\n Our goal was to establish a sustainable long-term collaboration by building community and scholarly capacity for language revitalization, research, and training. Our successful integration of theory, practice, and application included:\n \n (i) New relationships with fluent speakers from two Tlingit speech communities (Coastal and Inland). This is a breakthrough, as modern nation-state boundaries between Alaska (USA) and the Yukon Territory (Canada) have obscured traditional Coastal-Inland relations. To date, most linguistic research has focused on Coastal Tlingit, so having access to both varieties allows us to document previously un-described differences.\n (ii) Student training for future work on the language: a field methods course parallels the research project, allowing us to train several undergraduate and graduate students, a subset of which continue to work on the language.\n (iii) Collaboration between linguistic subfields: leveraging expertise in different subfields (phonology, syntax, semantics, linguistic ethnography, and language pedagogy) affords a breadth of scope that would otherwise be impossible.\n (iv) Inter-institutional and international collaboration: the project involves two research institutions (UBC and University of Alaska Southeast) in two different countries (Canada, USA). This is especially important in Canada, as no Canadian-based research is currently conducted on Inland Tlingit.\n (v) Outreach within the university community: the project features in the Language of the Year initiative undertaken by UBC Linguistics, which brings to the attention of the university community the contribution that field-based linguistic research makes to language stabilization and revitalization.\n \n Bringing speakers to linguists — what we call the Convergent Streams model — used to be very common, but is no longer widely practiced. However, sustained involvement of linguists with different types of expertise over an extended period of time permits rapid advance across several domains and maximizes the impact of scholarly research on language teaching efforts. Our experience suggests that Convergent Streams is most effective when hosts involve administrators early, arrange culturally appropriate compensation such as honoraria rather than salaries, organize transport and accommodation, monitor wellness needs and ensure timely access to medical services, coordinate socio-cultural support by offering meaningful companionship, and have a plan for return to the community.\n \n Penfield, Susan D., et al. (2008) Community collaborations: best practices for North American indigenous language documentation. International Journal of the Sociology of Language 191, 187-202.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.081
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.018
GPT teacher head0.265
Teacher spread0.247 · 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
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
Published2015
Admission routes1
Has abstractyes

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