In fabric manipulation, the algorithmic performance was contingent on repeated combinations of components paired with steps of the craft¶
Claim · All claims
Evidence · 1 study · qualitativer?·q2
Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person · recheck by 2027: tool and model accuracy changes quickly
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? Unlike weaving, fabric manipulation's algorithmic performance rested on a repeating series of different youth-material component combinations (grid, thread-needle, thread, fabric) rather than one-dimension-at-a-time movements. → 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?
Bird's-eye video analysis of the fabric manipulation unit shows a four-part sequence: Savanna-fabric-grid tracing the matrix, fabric-thread-needle stitching loops, fabric-thread pulling sewn units, and fabric unfolding the output.
"the algorithmic performance in fabric manipulation and the fabric output of the craft were contingent on a repeating series of different combinations of components paired with the steps of the craft"
Discussion¶
Related Claims¶
- In weaving, performed algorithms emerged as repeated youth-material movements one dimension at a time, producing reliable fabric outputs — related
- Neither youth nor loom alone drove the algorithmic production and fabric output; both actively produced it collaboratively — related
- Middle school students experienced their craft performance as computational, connecting weaving and sewing to loops and coding — related
- Computation in fabric manipulation is characterized as speculative physical 3D modeling — 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
- Fabric manipulation (sewing) 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
- Weaving supports middle school students' performance of the computational concepts variables, conditionals, and functions — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
fabric-manipulation-algorithm-component-confluence |
title |
In fabric manipulation, the algorithmic performance was contingent on repeated combinations of components paired with steps of the craft |
description |
In fabric manipulation, the algorithmic performance was contingent on repeated combinations of components paired with steps of the craft |
status |
review |
evidence_strength |
weak |
newest_evidence |
2024 |
recheck_by |
2027 |
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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