An Autoethnographic Account of Experiences with a Community-Based Participatory Research Project in Canada
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".