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An Autoethnographic Account of Experiences with a Community-Based Participatory Research Project in Canada

2018· article· en· W2903793900 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInterfaces Brasil/Canadá · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicQualitative Research Methods and Ethics
Canadian institutionsLakehead University
Fundersnot available
KeywordsSociologyHumanitiesArt

Abstract

fetched live from OpenAlex

Discutimos nesse artigo nossas experiências pessoais ao desenvolver umprojeto de pesquisa participativa baseada na comunidade (CBPR) com a PrimeiraNação do Lac Seul para registrar algumas de suas histórias de uso da terra e paratreinar jovens da Primeira Nação e estudantes de nossa universidade em Arqueologia,Antropologia Cultural e Geografia. Com base na literatura acadêmica dos campos deGeografia e Antropologia, ilustramos como ambas as disciplinas influenciaram nossotrabalho e o entendimento de nossas jornadas profissionais e pessoais. Descobrimosprincipalmente que as fases tradicionais de pesquisa acadêmica do projeto e coleta dedados não descreviam adequadamente a fase inicial do projeto e a subsequente troca deinformações. Em vez disso, descobrimos as seguintes fases de pesquisa que se tornaramimportantes: Construção de relacionamentos, Projeto, Aprendizado, Imersão / Coleta dedados e Ativismo / Mudança de perspectivas.

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)0.017
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.590
GPT teacher head0.596
Teacher spread0.006 · 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