Bibliographic record
Abstract
Much can be learned through the process of handcrafting a jacket. A variation of A/R/Tography, HC/R/Tography, is utilized in this paper to explore and research the connections of the handcrafter, research, and teacher, and the implications that this has for home economics in general and the textiles and clothing classroom in specific. Images taken throughout the handcrafting process serve to track progress from inspiration, to making, and explore final metamorphosis, while creating connections in learning and understanding. By creating a jacket, the concept of handcrafting is explored, reflecting on the meaning of each step as it relates to curriculum and pedagogy in a clothing, textile and fashion classroom. Handcrafting as a process is used to explore the concepts of inspiration, creation and metamorphosis and their relationship to the pedagogy of experiential and transformative learning in home economics. Handcrafting was selected as the focus for this paper due to my personal connections with it throughout my education and career. The research question, “What does handcrafting teach?” is used to explore facets of the handcraft practice and how it relates to curriculum and pedagogy within the clothing and fashion classroom.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".