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Who's Your Daddy?

2004· article· en· W2109825357 on OpenAlexaff
Susan Kerr Bernal

Bibliographic record

VenueJournal of Andrology · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Systems and Judicial Processes
Canadian institutionsUniversity College of the North
Fundersnot available
KeywordsPresumptionChild supportLawComplaintPsychologyCriminologyPolitical science

Abstract

fetched live from OpenAlex

When paternity cases make the headlines, they are either about identified deadbeat dads who egregiously fail to pay child support or famous actors, basketball players, football players, or rock stars being sued by a woman alleging he fathered her child. Increasingly, however, cases dubbed “paternity fraud” are garnering newsworthy attention. Paternity fraud can stem from a variety of circumstances, but ultimately, they all culminate in a man who is not a child's biological father being declared so by a court and thus becoming required by law to pay child support. Sometimes paternity fraud cases germinate from an intentional action by a mother who is seeking revenge against a certain man, or who believes man “X” is better able to pay child support than the child's actual biological father, or who is trying to hide an extramarital affair. The fraud might also be more a result of apathy than intention when a woman is confused or makes little effort to determine the true identity of a child's biological father. The fault for paternity fraud could even fall partially on the shoulders of the man if he ignores a complaint to appear in court to defend himself and is declared the father by a default judgment. Finally, the fraud might be an unintended consequence of long-standing state laws that decree a presumption of paternity to a husband if a child is born during or soon after the breakup of a marriage.1 This presumption, which has survived for more than 5 centuries, was crafted to preserve families and protect children who might otherwise be considered “bastards” or “illegitimates” and, as a result, have little entitlement or redress under the law. Quaint and antiquated, these laws and views are simply irrelevant in light of today's DNA technology. For almost 2 decades now, courts have accepted DNA technology to identify deceaseds' remains, as well as killers, rapists, and other criminals. More recently, the technology has been used to free innocent persons from jail, some even on death row. So why isn't the technology being used to free men from the burden of paying child support for children they did not father and, therefore, should not be responsible for? Sadly, it is mostly about the money. States receive approximately $18 billion in federal monies to help cover some 20 million children in family assistance programs. In order to get federal funds, states have to identify the fathers of children whose mothers receive these government benefits. If men are able to disprove their paternity through DNA tests and the states cannot locate the actual biological fathers, states will not receive federal dollars; rather, state welfare agencies will get the bill for family assistance benefits. The second reason for reticence toward prolific DNA paternity testing is the “best interest of the child” standard. Most laws concerning children attempt to put the best interest of the child at the pinnacle of its priorities. Although an admirable and defendable standard, when applied to paternity fraud cases, it translates into forcing nonbiological fathers to continue support payments rather than taking money away from the child or finding his or her actual biological parent. Denying children the child support money they deserve is not the goal of correcting and clarifying so-called paternity fraud cases. Rather, the goal is to alleviate unethical legal penalties and to hold the correct individuals responsible. If the best interest of the child is of paramount concern, should not the truth be a guiding force and cannot a solution be found that ceases to encourage deceit, fraud, irresponsibility, and legal loopholes? As fathers continue to speak out, some laws are changing. In Alabama, Arkansas, Georgia, Iowa, Ohio, and Virginia, a DNA test can be used to exonerate ex-husbands and out-of-wedlock fathers from support payments. Colorado, Illinois, and Louisiana grant such an entitlement only to ex-husbands. Texas allows an ex-husband 4 years from the birth of a child to challenge paternity rather than the traditional 6 months. Similarly, as everyone knows, parenting is more than biology, so it seems that a nonbiological father who has had a long-standing, established relationship with a child should not be able to just walk away if a paternity test contradicts long-held beliefs and actions—not if the best interest of the child standard is upheld. Also, it is sad and ironic that in these paternity fraud cases, it is often the biological children of a man paying child support for a nonbiological child who suffer. How is the best interest of the child standard justified in such an instance? Obviously, it is not, and the laws need to be revised in light of advances in science and medicine. There are no simple solutions to this conundrum, but there are clear steps that can be taken to catalyze the amelioration of unfairness to all parties. The first step is to increase the statute of limitations for challenging paternity for all men. Second, accept the use of DNA technology to clearly establish or disprove paternity at any stage of a paternity proceeding. Third, increase the penalties for men who evade paying child support and create penalties for women who intentionally mislead or defraud the government regarding a child's paternity. Fourth, increase education about the responsibilities and consequences of sex and fathering a child. And fifth, foster laws that promote parental responsibility and honesty so that “Who's your daddy?” will become just a slapstick, overused catchphrase.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.851
Threshold uncertainty score0.236

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 studies0.0000.000
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 head0.026
GPT teacher head0.332
Teacher spread0.306 · 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 designNot applicable
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".

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Citations0
Published2004
Admission routes1
Has abstractyes

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