Abstracts From the ISTS Satellite Meeting June 20, 2016, Brisbane
Bibliographic record
Abstract
A twin study consists of three different, but interrelated, research interests: studies 'of' twins, which investigate specificity of twin birth, twin relationship, and so on; studies 'by' twins, which provide a major methodology of behavior genetics to investigate how genes and environments work in human; and studies 'for' twins, which provide useful information for nurturing and fostering twin children in their families and societies.Main works in studies 'of' twins are on twin birth rate, zygosity diagnosis, and physical development.These findings also contribute to studies 'for' twins, which provide scientific references of social support for twin and their parents.Most of the active research region is study 'by' twins.There are two established twin research centers progressing: Osaka University Twin Research Center and Keio Twin Research Center.The former is medical oriented and focuses mainly on population from adolescent to elderly people.The latter is psychology oriented and focuses on population from infancy to adulthood.Currently, these two contrasted twin projects started to collaborate with each other to establish a nation-wide network for twin research in Japan.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.534 | 0.327 |
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".