Bibliographic record
Abstract
Previous research concerning tier handedness, experience and the configuration of simple, habitual knots has been scant and conflicting. Survey data were collected from 21 disparate groups comprising 562 respondents in total. Regardless of experience, respondents tied both Granny and Reef Knots. Dextral tying was dominated by S knots. Left-handers tied Z knots more frequently than right-handers. However, the frequency of S and Z knots relative to tier hand dominance, which is not binary, occurred on a continuum. Averaging all survey tasks, more than 70% of knots tied by dextrals were S, whereas only 56% of those tied by sinistrals were S. These percentages varied somewhat according to specific tying tasks and the number of working ends. Furthermore, tiers' shoelace and parcel knots were not always identical, and a ranked pattern in parcel and shoelace knots was revealed. The examination of habitual knots could benefit criminal investigations.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".