Activity Patterns of Canadian Women: Application of ClustalG Sequence Alignment Software
Bibliographic record
Abstract
Sequence alignment procedures and a new software package for creating multiple sequence alignments, called ClustalG, are described and used to identify the activity patterns of Canadian women. ClustalG eliminates the constraint on the size of the event classification system implemented in software developed for biological applications, and this feature allows an analysis of activity sequences in conjunction with their settings, in this example, location and the presence of other people. Work, weekend days, age, marital status, and the presence of children relate to membership in different activity-pattern groups. The addition of data on activity setting to the sequences changes the discriminatory power of the analysis. When the analysis omits settings, the daily activities of elderly women are grouped with weekend activities of younger, family-raising women. Inclusion of settings identifies the activities of elderly women largely on the basis of location at home and isolation from other people. ClustalG is freely available over the Internet at www.stmarys.ca/partners/iatur/clustalG.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".