The Twin Inventory of Relationships and Experiences (TIRE): psychometric properties of a measure of the non‐shared and shared environmental experiences of twins and singletons
Bibliographic record
Abstract
Abstract We examined longitudinally the psychometric properties of the Twin Inventory of Relationships and Experiences (TIRE), an instrument designed to assess non‐shared and shared environmental experiences in twins and siblings. A community sample of 1,117 pairs of like‐sex monozygotic and dizygotic twins, aged eight to 16, and their parents, was used. Results indicated that the TIRE provided constructs that are consistent across informants, gender and time. These dimensions showed good longitudinal stability within raters, and low to moderate inter‐rater agreement; the results are consistent with those of other studies using different instruments to assess family environment. It is concluded that the TIRE may be used to assess dimensions of the non‐shared environment of twins and siblings and their influence on children's development. Copyright © 2001 Whurr Publishers Ltd.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".