Neither youth nor loom alone drove the algorithmic production and fabric output; both actively produced it collaboratively¶

Claim · All claims
Evidence · 1 study · qualitative r2 · q2
Currency · newest study 2024 · checked against its sources 2026-10-19 (automated, 1 of 1 entry) · not reviewed by a person

Subclaims¶

q2 i? In one participant's gap-pattern weaving, the loom's material arrangement obstructed continuation of the established algorithm and demanded simultaneous building of both sides, showing mutual human-material determination of the algorithm. → Anna Keune 2024

Evidence¶

Anna Keune 2024¶

Anna Keune. (2024). Learning within fiber-crafted algorithms: Posthumanist perspectives for capturing human-material collaboration. Intern. J. Comput.-Support. Collab. Learn. https://doi.org/10.1007/s11412-023-09412-1

q2 · i? · qualitative · r2

Fine-grained video analysis of Boe, a 13-year-old participant, weaving a gap pattern: the heddle's z-axis movement "could not reach the weft of the left side of the fabric," and Boe-loom intra-actions reversed, undid wefts, and re-proceeded.

"The production of the performed algorithm and the fabric output was neither driven by the youth nor the loom on their own. The loom did nothing without the youth acting on it, and the youth did not perform algorithms without the loom acting on the youth."

Discussion¶

Related Claims¶

• In fabric manipulation, the algorithmic performance was contingent on repeated combinations of components paired with steps of the craft — related
• The editorial reports that human-material interactions in fibre crafting produce algorithmic outcomes, with materials acting as collaborative agents (Keune) — a broader claim this one bears on
• In weaving, performed algorithms emerged as repeated youth-material movements one dimension at a time, producing reliable fabric outputs — related
• Computation in weaving is characterized by the performance of automation, with student-loom patterns moving from irregular to regular over time — related
• Weaving supports middle school students' performance of the computational concepts variables, conditionals, and functions — related
• Fiber crafting can engage proportional reasoning through nested, personally-defined units — related
• Algorithms developed over time through changes in youth-material collaborations, defining learning as physical expansion of algorithmic production — related