In weaving, performed algorithms emerged as repeated youth-material movements one dimension at a time, producing reliable fabric outputs¶
Claim · All claims
Evidence · 1 study · qualitativer?·q2
Currency · newest study 2024 · checked against its sources 2026-10-19 (automated, 1 of 1 entry) · not reviewed by a person
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Youth-material collaborative intra-actions in weaving happened in one dimension at a time, and the repetition of these movements produced a baseline algorithm with reliable output. → 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 · r?
Qualitative posthumanist video analysis of the weaving unit shows intra-actions on the y-, x-, and z-axes: "Each youth-material collaborative intra-action was paired with one movement in one predominant dimension," yielding a repeatable heddle-shuttle sequence.
"Each youth-material collaborative intra-action was paired with one movement in one predominant dimension. The repetition of youth-material movements produced a baseline algorithm of a reliable process"
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
- Neither youth nor loom alone drove the algorithmic production and fabric output; both actively produced it collaboratively — related
- Algorithms developed over time through changes in youth-material collaborations, defining learning as physical expansion of algorithmic production — 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
- Middle school students experienced their craft performance as computational, connecting weaving and sewing to loops and coding — related
- Fiber crafting can engage proportional reasoning through nested, personally-defined units — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
weaving-algorithm-one-dimension-at-a-time |
title |
In weaving, performed algorithms emerged as repeated youth-material movements one dimension at a time, producing reliable fabric outputs |
description |
In weaving, performed algorithms emerged as repeated youth-material movements one dimension at a time, producing reliable fabric outputs |
status |
review |
evidence_strength |
weak |
newest_evidence |
2024 |
source_checked |
2026-10-19 |
generated |
by process:wiki-ingest on 2026-10-18 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — anna-keune-2024 |
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