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Record W2470135455

Payments to Not Parent? Noncustodial Parents as the Recipients of Child Support

2014· article· en· W2470135455 on OpenAlexaboutno aff
Emma J. Cone-Roddy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsnot available
Fundersnot available
KeywordsChild supportObligationSociologyLawQuarter (Canadian coin)PsychologyCriminologyPolitical scienceHistory
DOInot available

Abstract

fetched live from OpenAlex

Like many marriages, Jon and Sarah Cryer’s ended in divorce. Jon and Sarah are both actors, but their careers are remarkably divergent. Jon, a star of the sitcom Two and a Half Men, makes hundreds of thousands of dollars a month; Sarah has not worked since 2005. For the first five years after their divorce in 2004, Jon and Sarah’s family arrangement was rather traditional—the higher-income, noncustodial parent paid monthly support to the lower-income, custodial parent. Sarah had custody of their son approximately 65 percent of the time, and Jon had custody the remainder. Jon paid $10,000 each month in child support. After a 2009 dependency action brought by the Los Angeles County Department of Children and Family Services,1 Jon was awarded nearly complete custody— approximately 96 percent of the time with their son. Jon then sought to reduce his monthly child-support obligation to zero.2 Mara Rubin and Anthony Della Salla were never married, but, over the course of their nine-year relationship, they had one son. After separating, they jointly provided for their son’s custody and support informally. Eventually, however, they sought and received a judicial determination of their son’s custody and support. Anthony was awarded primary physical custody, receiving 56 percent of the overnights, and the two parents were awarded parallel legal custody. Mara, unemployed, petitioned the court for an order requiring Anthony, a millionaire, to pay her child support pursuant to the substantial amount of parenting

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score0.728

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.027
GPT teacher head0.308
Teacher spread0.281 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2014
Admission routes1
Has abstractyes

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