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Record W2996674121 · doi:10.1086/706921

<i>Salir Adelante</i>: Collaboratively Developing Culturally Grounded Curriculum with Marginalized Communities

2019· article· en· W2996674121 on OpenAlex
Joseph Levitan, Kayla M. Johnson

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

VenueAmerican Journal of Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsMcGill University
Fundersnot available
KeywordsCurriculumIndigenousPedagogySociologyCurriculum development

Abstract

fetched live from OpenAlex

In this article we discuss a collaborative research project meant to ground community members’ voices in curriculum design. We argue that performing collaborative research with students and parents can better inform curriculum design decisions, particularly for communities whose identities, knowledge(s), and ways of being have been historically marginalized. Building from the culturally responsive curriculum literature, we have developed a culturally grounded curriculum development approach. We illustrate the approach through discussing a case of its development and implementation with an educational nongovernmental organization (NGO) that provides access to secondary school for Quechua (Indigenous) young women in Peru. This article reflexively reports the process of the NGO’s collaborative inquiry project to cocreate meaningful educational opportunities with the students and parents. We then discuss dilemmas of interpretation that arose when incorporating community voices into curricular decisions, and how the collaborative curriculum approach can apply to formal and nonformal learning spaces in other contexts.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

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

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 head0.016
GPT teacher head0.327
Teacher spread0.311 · 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