MétaCan
Menu
Back to cohort
Record W4312112296 · doi:10.18357/otessac.2022.2.1.126

Truth and Reconciliation Through Inquiry-based Collaborative Learning

2022· article· en· W4312112296 on OpenAlexaffvenueabout
Deirdre Houghton, Gary Soles, Andrew Vogelsang, Valerie Irvine, François Prince, Leona Prince, Carla Martin, Jean‐Paul Restoule, Michael Paskevicius

Bibliographic record

VenueThe Open/Technology in Education Society and Scholarship Association Conference · 2022
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsGeneral partnershipIndigenousSociologyTraditional knowledgeCarpentryPedagogyPolitical scienceGeographyArchaeology

Abstract

fetched live from OpenAlex

This paper overviews a project conducted at Fort St. James Secondary School in the Nechako Lakes School District, which is in Northern British Columbia, Canada. Three highschool teachers from different disciplines (Social Studies, Digital Media, and Carpentry) launched a cross-curricular inquiry-based project in partnership with local knowledge holders and School District 91, focusing on truth and reconciliation, that connected the learners in their highschool and the broader community, including knowledge holders from the local Indigenous communities. Those engaged in the project examined questions around what truth and reconciliation meant to the learners and its significance. Resulting products included a legacy wall containing individual learning represented in motifs, design of the feather using wood from around the world, and a video documentary containing interviews from school and community stakeholders. We share information on how to access the video documentary.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.633
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.101
GPT teacher head0.424
Teacher spread0.324 · 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 designObservational
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

Citations9
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueThe Open/Technology in Education Society and Scholarship Association ConferenceSame topicDigital Storytelling and EducationFrench-language works237,207