Guidelines for Preventing Child Sexual Abuse and Wrongful Allegations against Staff at Danish Childcare Facilities
Bibliographic record
Abstract
Since the 1980s, the fear of child sexual abuse (CSA) has become a major cultural feature of a large part of the Western world. Internationally, the unintended consequences of the fear surrounding CSA are rarely investigated and doing so is often controversial. The purpose of this study was to investigate how this widespread fear of CSA has influenced practices and teacher–child relationships at childcare institutions. This is the first study of Danish childcare facilities’ guidelines for protecting children against CSA, and staff against wrongful allegations of CSA. Examples of such guidelines include staff being forbidden to have children sit on their lap, or male staff being forbidden to change diapers. This mixed methods survey, which involved the participation of 2051 directors and teachers from approximately one-quarter of Danish childcare facilities, showed that the majority of institutions had guidelines that were aimed mostly at protecting staff from wrongful allegations. The study revealed that the guidelines were a sign that male workers were being stigmatized, and that some institutions had discriminatory guidelines that applied exclusively to men. Furthermore, the guidelines conflicted with staff’s trusting relationships with children, and the task of caring for them.
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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 | 0.011 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".