MétaCan
Menu
Back to cohort
Record W4392721242 · doi:10.22318/icls2023.495209

Centering Critical Youth Research Methodologies of Praxis and Care in Post-Pandemic Times: From Respectful Relations and Dialogue Towards New Imaginaries

2023· article· en· W4392721242 on OpenAlexaff
Jrène Rahm, Joseph L. Polman, Jennifer D. Adams, Kristina Stamatis, Jose Rogelio Manriquez Hernandez, Tupak Barrios Palacios Luna, Shakhnoza Kayumova, Akira Harper, Esmeralda Bereavalez, Feyza Achilova, Giana Richards, Christian Ehret, Emily Mannard, Karl A. St. Victor, Christian Degenais Rogers, Emily Diane Sprowls, Allison J. Gonsalves

Bibliographic record

VenueProceedings. · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicInnovative Education and Learning Practices
Canadian institutionsMcGill UniversityUniversity of CalgaryUniversité de Montréal
Fundersnot available
KeywordsPraxisGeneral partnershipSociologyWork (physics)Public relationsService-learningCo-creationPandemicPedagogyCoronavirus disease 2019 (COVID-19)Political scienceKnowledge managementEngineeringComputer scienceLawMedicine

Abstract

fetched live from OpenAlex

To center critical youth research methodologies of praxis and care in post-pandemic times, we bring together youth and researchers from four different partnership projects.Through dialogue circles with and between youth, we desettle taken-for-granted perspectives on research in the Learning Sciences.We ask: 1) How does engagement in co-creation and partnership projects offer all partners opportunities to reimagine research in education, a re-envisioning of it as humanizing and grounded in respectful relations ?; 2) What does it look and feel like at the beginning, when relations are established, and later, as they are maintained through joint work and critical reflections about learning, teaching, and becoming?; and 3) How does such joint-work support new future imaginaries for humanizing learning opportunities and meaningful joint research?A co-creation project will be pursued simultaneously, mediated by a local artist and further enriched by the discussant, leaving traces of the exchanges and shared with the larger community.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.121
metaresearch head score (Gemma)0.062
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.121
Threshold uncertainty score0.637

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1210.062
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.002
Science and technology studies0.0320.088
Scholarly communication0.0330.028
Open science0.0050.046
Research integrity0.0070.013
Insufficient payload (model declined to judge)0.0040.001

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 head0.359
GPT teacher head0.530
Teacher spread0.171 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreMethods

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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueProceedings.Same topicInnovative Education and Learning PracticesFrench-language works237,207