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Record W3034749460 · doi:10.3390/educsci10060159

“Keep Walls Down Instead of Up”: Interrogating Writing/Making as a Vehicle for Black Girls’ Literacies

2020· article· en· W3034749460 on OpenAlex
Cassie J. Brownell

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

VenueEducation Sciences · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFraming (construction)Presidential campaignSociologyPoliticsClosing (real estate)Space (punctuation)PedagogyGender studiesMedia studiesMathematics educationPresidential systemPolitical sciencePsychologyComputer scienceHistory

Abstract

fetched live from OpenAlex

Drawing on data generated following the 2016 United States presidential election, in this article the author considers how a classroom makerspace made Black girls’ literacies visible in new ways. During a six-week integrated humanities unit in a third-grade public school classroom in the Midwestern U.S., four Black girls used making to create a space for themselves to collaboratively make sense of contemporary (im)migration issues. In the findings, the author provides two analytic snapshots to illustrate how the girls’ making exemplified the six components of the Black Girls’ Literacies Framework—an asset-oriented framing that highlights how Black girls’ literacies are (1) multiple, (2) connected to identities that are (3) historical, (4) collaborative, (5) intellectual, and (6) political/critical (Muhammad & Haddix, 2016). In closing, the author offers provocations for educational researchers and practitioners to consider, as they facilitate school-based opportunities for Black girls’ literacies to be made visible through making.

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)0.001
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 score0.045
Threshold uncertainty score0.684

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.107
GPT teacher head0.358
Teacher spread0.250 · 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