Emerging Views on Making: Fibre Graduates Reflect on their Practice
Bibliographic record
Abstract
This narrative research examines the ways in which craft is conceptualized from the perspective of five recent graduates from the Material Art and Design Fibre Program at a prominent Canadian art and design university. Recognizing the cultural currents that have excised acts of making, including Western de-industrialization and abundant access to offshore labour markets, this research looks at the role of maker within a new societal context. A nascent theoretical platform for craft, shaped by artists and academics, counters a dearth of voices that has characterized the field’s history. Here, craft is posited as a methodology, characterized by embodiment, subjectivity, resistance, and skill. The experience of emerging makers, and their reflection in relation to this theoretical framework, allows for a broader consideration of present-day craft practice, and a renewed consideration of material arts curricula.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.020 | 0.036 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 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".