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Record W3041856982 · doi:10.18357/ijcyfs113202019703

POISED TO ADVOCATE

2020· article· en· W3041856982 on OpenAlexaffvenueabout
Johanne Jean‐Pierre, Sabrin Hassan, Asha Sturge, Kiaras Gharabaghi, Megan A. Lewis, Jonathan Bailey, Melanie Panitch

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsYorkville UniversityUniversity of TorontoToronto Metropolitan University
Fundersnot available
KeywordsPraxisMetropolitan areaPsychologyPedagogyMedical educationPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Advocacy is an integral part of child and youth care workers’ roles and a significant component of child and youth care politicized praxis and radical youth work. Drawing from the qualitative data of a mixed-methods study conducted in 2019 at a Canadian metropolitan university, this study seeks to unpack how the pedagogy of the lightning talk can foster advocacy skills to effectively and spontaneously speak out with and on behalf of children, youth, and families in everyday practice when an unforeseen systemic challenge or barrier arises. A purposive sample of 70 undergraduate students was recruited in two child and youth care courses, both of which required students to present a lightning talk. Participants completed an online questionnaire with closed-ended and open-ended questions in order to share their perspectives of the pedagogy of the lightning talk. The findings show that the lightning talk fosters twenty-first century and metacognitive skills and, most importantly, advocacy skills.

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)0.006
metaresearch head score (Gemma)0.016
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: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0110.017
Scholarly communication0.0070.007
Open science0.0010.009
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0120.004

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 head0.087
GPT teacher head0.392
Teacher spread0.305 · 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
GenreOther

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
Published2020
Admission routes3
Has abstractyes

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