Bibliographic record
Abstract
<JATS1:p>While most people have heard about high-profile abductions such as the Elizabeth Smart case, such abductions are not isolated cases. The abduction of children occurs much more often in our country than most people would suspect, but because of a fault in our country's national crime reporting procedures, no one knows the true number. This book details the scope of the child abduction problem in the United States, and its very real danger. It covers the different types of abductions and discusses the psychological changes that can occur in long-term abducted children that will often stop them from attempting to escape, or even to seek help, though good opportunities may present themselves. Snow also discusses the danger to secondary victims of child abduction. He devotes several chapters to what both parents and the government can do to stop many of the child abductions that now occur, and, for those not stopped, steps parents can take that will greatly assist the authorities in quickly locating and safely rescuing an abducted child. He concludes with a chapter on the psychological and emotional concerns of recovered abducted children, and how families can help them re-integrate themselves into a normal life. Real life examples are provided in every chapter.</JATS1:p> <JATS1:p>It is every parent's worst nightmare. Someone has abducted their child, and no one, including the police, has a clue where the child is. But worse, while parents feel certain their child is terrified and crying desperately for them, they don't know if their child is being physically mistreated, sexually molested, or worse. The uncertainty and powerlessness can drive parents of abducted children to the edge of insanity. But there are measures parents and children can take to avoid being the victim of abduction. There are things families can do, too, to apprehend offenders and bring children home even after an abduction occurs. Here, a retired police captain offers expert advice designed to help keep children safe and to help families deal with an abduction once it has occurred. Practical advice is offered throughout to families and professionals that will help all involved handle this tense and terrifying experience. Featuring such prominent cases as the abductions of the Groene children in Idaho in 2005, Christopher Michael Barrios in Georgia in 2007, Zina Linnick in Washington in 2007, Mychael Darthard-Dawodu in Texas in 2007, Crystal Chavez in Texas in 2002, Elizabeth Smart in Utah in 2002, the Montano children in Florida in 2003, the Walker children in Indiana in 2007, the Nunez children in California in 2002, Emily Johnson in Indiana in 2007, Ludwig Koons in New York in 1993, the Beveridge children to the United States from Australia in 2000, Erica Pratt in Pennsylvania in 2002, Clay Moore in Florida in 2007, the Hari children in Illinois in 2005, Samantha Runnion in California in 2002, Ben Ownby in Missouri in 2007, Shawn Hornbeck in Missouri in 2002, Steven Stayner in California in 1972, Natascha Kampusch in Austria in 1998, Jessica Lunsford in Florida in 2005, Carlie Brucia in Florida in 2004, Amber Hagerman in Texas in 1996, the Nguyen children in Canada in 2006, and Cecilie Finkelstein from Sweden to the United States in 1975.</JATS1:p>
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.096 | 0.026 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".