“Keep Walls Down Instead of Up”: Interrogating Writing/Making as a Vehicle for Black Girls’ Literacies
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.024 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".