Bibliographic record
Abstract
In this article, I introduce the Technological Approach, as it has developed within the field of lithic analysis, and discuss its possible application in textile archaeology. The Technological Approach is based on the chaîne opératoire concept, with the goal of reconstructing a prehistoric craft process as well as its related social, cultural, and cognitive aspects. A case study from the Arctic archaeological field concerning a long and fierce discussion on threads excavated from Dorset culture contexts in Arctic eastern Canada, is presented and discussed in light of the Technological Approach. The case study demonstratse the extreme importance and powerfulness that a fibre thread can have when its technological and cultural implications are interpreted. The Technological Approach is in this case employed to systemize the arguments and analysis made, according to the chaîne opératoire of the threads, i.e., in steps from procurement of raw material to discard of the thread. With this article, I hope to enlighten the ‘Arctic thread debate’ and to inspire textile specialist to think in wider technological perspectives.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".