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Record W1571489638 · doi:10.3906/sag-0809-14

General characteristics of paternity test applicants

2009· article· en· W1571489638 on OpenAlexaff
Ayşim Tuğ, Gülümser Gültekin Akduman

Bibliographic record

VenueTURKISH JOURNAL OF MEDICAL SCIENCES · 2009
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsMedicineTest (biology)DemographySample (material)Domestic violenceFamily medicineInjury preventionPoison controlEnvironmental health

Abstract

fetched live from OpenAlex

Aim: This research was done to fill the gap in research on the social dimensions of paternity testing by determining the reasons for the suspicion and some characteristics of families who applied for a paternity test. Materials and methods: This research was performed with 50 men that applied for paternity testing. The bi-sectional questionnaire was conducted by means of the interview method. The questionnaire comprised questions on age, education, the reason for and duration of paternity suspicion, domestic violence linked to the paternity suspicion, and plans for the future following the test. The data were assessed with SPSS 10.0 and chi-square test for one sample. Results: The age of the participating mothers and men was mainly between 31 and 45 years. All mothers and fathers were literate. The duration of suspicion was between 1 month and 30 years. The frequency of domestic violence related to the uncertainty of paternity was 50%. While 34% of men stated they would take responsibility for the child if the result was negative, and 28% said they would discontinue any communication. Conclusion: The assessment of the results shows that, except for future plans, significant differences exist in all data.

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)0.002
metaresearch head score (Gemma)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.390
Teacher spread0.334 · 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 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

Citations2
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueTURKISH JOURNAL OF MEDICAL SCIENCESSame topicGrief, Bereavement, and Mental HealthFrench-language works237,207