Construction and preliminary validation of the Cognitive and Emotional Congruence with Children (C-ECWC) Scale.
Bibliographic record
Abstract
Emotional congruence with children is central in understanding why some adults pursue sexual contact with children. Although self-report scales have been developed to assess for emotional congruence with children, these scales have equivocal latent structure and less than desirable performance in validation research. Further, these scales were not developed to assess emotional congruence with children in individuals who commit Internet-facilitated offenses. In the current study, a sample of men with histories of Internet-facilitated sexual offenses, contact sexual offenses against children, and nonsexual offenses was used to examine factor structure, internal consistency, convergent and divergent validity, and known-group validity of the newly developed Cognitive and Emotional Congruence with Children (C-ECWC) scale. The scale had a three-factor latent structure, adequate internal consistency and adequately captured the nomological network of correlates and group differences anticipated for a measure of emotional congruence with children. Implications for scale validation and use in future research into emotional congruence with children are discussed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
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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 | 0.016 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".