DIAGNOSTIC REDUCTIONISM AND THE SCIENTIFIC QUALIFICATION OF EXPERT TESTIMONY IN FAMILY LAW
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The objective of this article is to discuss the relevance of expert qualification in custody disputes, particularly in cases of alleged parental alienation, in a study with an analytical and critical approach, of a qualitative nature, using extensive bibliographic and documentary research. It examines tragic U.S. cases such as Kayden Mancuso and Aramazd “Piqui” Estevez, where forensic failures and judicial decisions disregarded abuse risks, prompting legal reforms that require specialized training, scientific methodologies, and greater accountability. The paper warns against diagnostic reductionism in assessing child rejection, a multifactorial phenomenon often oversimplified as parental manipulation, leading to false positives. Brazilian law and recent Canadian reforms demand objective proof of conduct, preventing the misuse of parental alienation claims as procedural violence. The study highlights the recurrence of rushed or inconclusive reports, frequently accepted uncritically by courts. It argues that an expert’s “proven competence” must include practical experience and continuous training. The conclusion advocates for forensic expertise that is scientifically robust, methodologically transparent, and ethically sound to safeguard the child’s best interests.
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.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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 it