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Record W2908162555 · doi:10.1177/1053825918820694

Beings Who Are Becoming: Enhancing Social Justice Literacy

2019· article· en· W2908162555 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.

Bibliographic record

VenueJournal of Experiential Education · 2019
Typearticle
Languageen
FieldPsychology
TopicOutdoor and Experiential Education
Canadian institutionsBrock University
Fundersnot available
KeywordsExperiential learningSociologyIntersectionalityLiteracyNarrativeEconomic JusticePrivilege (computing)Experiential knowledgePedagogyPsychologyEpistemologyGender studiesPolitical scienceLaw

Abstract

fetched live from OpenAlex

Background: The Association for Experiential Education identifies social justice as one of its core values. One recent state of knowledge paper explored the confluence of outdoor experiential education and social justice. Social justice theory embraces the idea that social identities do not exist independently. Rather, race, class, sexuality, skin color, and gender (among other identities) exist in intersectionality. Purpose: This article adopts an intersectional approach to review relevant literature and to provide narrative illustrations that offer insights into the concept of social justice literacy. Methodology/Approach: The article is conceptual and adopts an intersectional approach, highlighting relevant literature, theories, and narratives. Findings/Conclusions: The article illuminates prevalent issues and offers practical insights for facilitators and educators on how to enhance social justice literacy and praxes. Implications: The article provides opportunities for outdoor experiential educators to better understand their own privilege and to develop new understandings and actionable behaviors.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.014
GPT teacher head0.381
Teacher spread0.367 · 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