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Orocowewin Notcimik Itatcihowin: The Atikamekw Nehirowisiw Code of Practice and the Issues Involved in Its Writing

2019· article· en· W3158127812 on OpenAlexaffabout
Benoit Éthier, Christian Coocoo, Gérald Ottawa

Bibliographic record

VenuePotchefstroom Electronic Law Journal/Potchefstroomse Elektroniese Regsblad · 2019
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
Fundersnot available
KeywordsNarrativeCode (set theory)Context (archaeology)LawCoding (social sciences)SociologyPublic relationsPolitical scienceHistoryLinguisticsComputer scienceSocial science

Abstract

fetched live from OpenAlex

The Atikamekw Nehirowisiw Nation has for several years been developing a code of practice (orocowewin notcimik itatcihowin) to regulate hunting, fishing and plant harvesting activities in Nitaskinan, its ancestral territory. The Atikamekw Nehirowisiw code of practice is a collective project that sets out to put its territorial regulations in writing. The project's objective is threefold: to ensure the transmission of territorial knowledge and of rules relating to forest activities; to adapt these rules, passed on by ancestors, to the contemporary context; and to have them recognised by non-natives and the governments of other nations, including the governments of Canada and Quebec. This article presents some of the issues related to the process of writing and coding orocowewin notcimik itatcihowin, the Atikamekw Nehirowisiw code of practice; in particular, the importance of the oral tradition as a means of transmitting knowledge is emphasised. In our language, we say "atisokana ki atisokan" – we are infused and transformed by the narratives transmitted orally. This mode of transmission is politically, philosophically and emotionally significant. It is a unique way for us to let the heart speak, through direct contact, without interference.

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)0.013
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.007
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 head0.017
GPT teacher head0.344
Teacher spread0.328 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations4
Published2019
Admission routes2
Has abstractyes

Explore more

Same venuePotchefstroom Electronic Law Journal/Potchefstroomse Elektroniese RegsbladSame topicIndigenous Studies and EcologyFrench-language works237,207