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Record W7117124360 · doi:10.1111/fcre.70035

New footprints on an old trail

2025· article· en· W7117124360 on OpenAlexaffabout
Michael Saini

Bibliographic record

VenueFamily Court Review · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Education and Practice Innovations
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHonorField (mathematics)Family lawPublishingMental healthLearning disability

Abstract

fetched live from OpenAlex

I am thrilled to join Family Court Review (FCR) as the new Social Science Editor. I am honored and profoundly privileged to take on this prestigious role within the family law community. I approach this opportunity with an earnest appreciation for those who have contributed to the journal's history over the past sixty-plus years. I have tremendous respect for FCR's longstanding tradition of connecting scholarship, law, and mental health practice to support and serve children and families engaged in family law matters. The articles published in FCR have been instrumental to my own learning journey over the past two decades. My access to FCR through my AFCC membership has been one of the most significant benefits. I follow in the footsteps of giants in the field and an exceptional group of Social Science Editors whose collective wisdom has helped shape FCR into a leading voice in family law. From the early days of collaboration between scholars and jurists to the most recent tenure of Dr. Marsha Kline Pruett, each editor has brought unique insights and energy. Dr. Kline Pruett's leadership, intellectual curiosity, and inclusive approach have enhanced the journal's influence and reputation. Under her guidance as Social Science Editor, FCR has strengthened its interdisciplinary perspective, expanded its global reach, and remained unwavering in addressing the most challenging and divisive issues facing family law practitioners. It is an honor to carry on this legacy and continue the conversations she so skillfully fostered. FCR has always been distinguished by its dedication to embracing complexity rather than sidestepping it. The journal has never aimed to provide simple answers. Instead, it serves as a platform for rigorous investigation, critical reflection, and sincere collaborative discussions about the changing intersections of family, law, and society. In my work, situated at the intersection of social science research, social work, and family law, I have observed that real progress depends on collaboration across boundaries. It involves curiosity about what exists beyond one's own discipline. My editorial philosophy is guided by four key principles: rigor, relevance, inclusion, and integrity. While only a small portion of FCR articles are empirical studies, I believe that all manuscripts, whether conceptual, policy-oriented, or practice-focused, must demonstrate clarity, coherence, and grounding in the best available evidence, practice wisdom, and child-centred approaches. I am dedicated to increasing the diversity of voices and perspectives in FCR by mentoring emerging scholars, promoting interdisciplinary and international contributions, and ensuring that both conceptual and practice-oriented work meet the same standards of rigor and integrity as empirical research. My approach also emphasizes a purposeful approach that prioritizes social science evidence, identifies and prevents advocacy bias, and ensures that scholarship remains connected to the realities of the children and families we serve. As we look ahead, the challenges facing our field continue to expand in scope and complexity, including confronting and reducing polarization, supporting the authentic inclusion of children's voices, prioritizing safety-first approaches for children and families, screening and addressing family violence, enhancing responses in cases of parent–child contact problems, and increasing artificial intelligence literacy and the ethical use of technology. These are not isolated issues. They are interconnected, global, and urgent. In my role, I will also help the Editor-in-Chief identify and develop special problems, such as trauma-informed courts, international perspectives on co-parenting, and evaluations of court-involved programs. I am eager to work with our esteemed Editor-in-Chief, Barbara Babb, the AFCC leadership, Hofstra's Center for Children, Families, and the Law, and the exceptional student editorial team to maintain efficient workflows and ensure timely, high-quality publication. FCR is part of the larger AFCC community. I am most thankful for the incredible leadership of our Executive Director, Bryan Altman, and the Board of Directors. I am most appreciative of your accepting my application and providing me with this remarkable opportunity. To the community of readers, contributors, reviewers, AFCC members and practitioners in the field who support FCR, thank you for your dedication to advancing meaningful dialogue and your commitment to evidence-informed family law practice. Together, we uphold a tradition of rigorous, respectful, and innovative scholarship. I look forward to continuing this journey with you. Data sharing not applicable to this article as no datasets were generated or analyzed. Michael A. Saini is a Full Professor at the Factor-Inwentash Faculty of Social Work and also holds a cross-appointment as an Associate Professor at the Faculty of Law, University of Toronto. He is the endowed Factor-Inwentash Chair in Law and Social Work and serves as Co-Director of the J.D./M.S.W. program. He is the past president of the Association of Family and Conciliation Courts (AFCC). In 2019, he received the Stanley Cohen Distinguished Research Award from AFCC, sponsored by the Oregon Family Institute. He is also a two-time recipient of the Meyer Elkin Essay Award from the Family Court Review in 2018 and 2024.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.555
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.081
GPT teacher head0.449
Teacher spread0.368 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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