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TIPPINS AND WITTMANN ASKED THE WRONG QUESTION:. Evaluators May Not be "Experts," But They Can Express Best Interests Opinions

2005· article· en· W1491038314 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueFamily Court Review · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsContext (archaeology)PsychologyChild custodyBest interestsFamily lawLawProcess (computing)Reliability (semiconductor)Resolution (logic)Social psychologyPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Tippins and Wittmann (2005) provide an important analysis of the limitations of child custody evaluations, but they are wrong to propose that court-appointed evaluators should be precluded from making recommendations about best interests decisions. While some of the evidence of evaluators may fail to meet the high standard of reliability expected for “expert evidence,” the role of court-appointed evaluators in child-related cases is not the same as the role of party-retained experts in other types of litigation, and the legal basis for their involvement in the family law dispute resolution process is very different. The family courts should not apply the “expert evidence” standard when deciding how to use the evidence of a court-appointed evaluator, but rather should use a more flexible standard that takes account of the family law context. If the Tippins and Wittmann proposal is adopted, it will have negative implications for the resolution of family law cases, including making settlements less common, thereby deleteriously affecting children.

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 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.791
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.089
GPT teacher head0.380
Teacher spread0.291 · 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