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Record W7033989241

âSlowly, slowly said the jaguarâ: Giving collaborations time to develop

2015· other· en· W7033989241 on OpenAlexaboutno aff

Bibliographic record

VenueScholarSpace (University of Hawaii at Manoa) · 2015
Typeother
Languageen
FieldArts and Humanities
TopicMedieval History and Crusades
Canadian institutionsnot available
Fundersnot available
KeywordsDocumentationLexiconValue (mathematics)Order (exchange)ConversationPosition (finance)Dialog box
DOInot available

Abstract

fetched live from OpenAlex

Language documentation has become increasingly collaborative over the last decade (Benedicto and Mayangna Yulbarangyang Balna 2007; Czaykowska-Higgins 2009; Rice 2006 and 2011; Grenoble and Furbee (eds.) 2010; inter alia). However, collaborations have become almost a condition for research endeavors (cf. Dwyer 2010 which considers that non-collaborative linguistic research is unethical). \n \n This paper is motivated by what I consider to be insufficient discussion about the conditions needed in order to develop collaborations of value to all involved. The focus is on whether a researcher might have sufficient knowledge about a language and has had the time to develop a strong enough rapport with members of the relevant community in order to effectively contribute towards a meaningful collaboration by the time s/he is to engage in one. \n \n I describe the history of my interaction with speakers of Isthus Zapotec (Otomanguean) from La Ventosa, Oaxaca, Mexico where I began lexicographic documentation as a graduate student in 2002. A fledgling collaboration began to emerge in 2009 and only solidified in 2013 through a large-scale, one-year effort to document the local flora and the lexicon and knowledge associated with it. The collaboration was only possible when the following conditions were met: (a) having sufficient knowledge of the language to be able to earn the respect and acceptance of highly knowledgeable community members of social prominence; (b) having sufficient sociolinguistic and cultural knowledge as to be able to identify opportunities for collaboration; and (c) be in a position to secure the funding to sustain the collaboration long-term. The collaboration that emerged has developed into a project grounded on the notion of retention –rather than return– of research results in the community through the development of a one-year language, knowledge and nature conservation program with increased community ownership and views towards long-term sustainability. \n \n This case study is described in detail to explain that a forced collaboration in the early stages of the research would have been unlikely to yield results as favorable as those that have emerged overtime. In fact, had an early –and forced– collaboration been dissatisfactory to the community members involved, future work could have been at risk. As such, I advocate for allowing researchers the time to develop such collaborations and considering collaborations as a goal of linguistic research rather than a condition for it. \n \n References\n \n Benedicto, Elena and Mayangna Yulbarangyang Balna. 2007. A Model of Participatory Action Research: the Mayangna Linguists’ Team of Nicaragua. In Proceedings of the XI FEL Conference on ‘Working Together for Endangered Languages - Research Challenges and Social Impacts,’29–35. Kuala Lumpur, Malaysia: SKET, University of Malaya and Foundation for Endangered Languages.\n \n Czaykowska-Higgins, Ewa. 2009. Research models, community engagement, and linguistic fieldwork: Reflections on working within Canadian indigenous communities. Language Documentation & Conservation 3(1), 15–50.\n \n Dwyer, Arienne M. 2010. Models of successful collaboration. In Lenore A. Grenoble and N. Louanna Furbee (eds.) Language documentation: Practice and values, 193-212. Amsterdam: John Benjamins.\n \n Grenoble, Leonore A. and N. Louanna Furbee (eds.) 2010. Language Documentation: Practice and values. Amsterdam, Philadelphia: John Benjamins Publishing Company.\n \n Rice, Keren. 2011. Documentary Linguistics and Community Relations. Language Documentation & Conservation. 5, 187–207.\n \n ----- 2006. Ethical issues in linguistic fieldwork: An overview. Journal of Academic Ethics 4.4, 123–55.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.058
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0690.012

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 head0.025
GPT teacher head0.192
Teacher spread0.167 · 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; both teacher heads agree on what is shown here.

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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