MétaCan
Menu
Back to cohort
Record W4387246804 · doi:10.21428/cb6ab371.4710c3ef

The power few missing persons: A ten-year follow-up study of over 2000 youth missing persons

2023· preprint· en· W4387246804 on OpenAlexaff
Stuart Thomas, Lorna Ferguson

Bibliographic record

VenueCrimRxiv · 2023
Typepreprint
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsWestern University
Fundersnot available
KeywordsMissing dataDemographicsPsychologyCriminal historyVulnerability (computing)MedicinePsychiatryDemographyComputer securityComputer scienceSociology

Abstract

fetched live from OpenAlex

Youths going missing continues to be a matter of great concern for the police. This group has been consistently found to comprise most police missing person reports, be more likely to go repeatedly missing, and experience victimization and vulnerability related to these incidents. This study thus sought to examine single versus repeat versus habitual/chronic missing youth cases to extract differentiated insights to initiate discussions on proactive policing efforts for reducing and preventing missing youth cases. Data employed tracked 2126 young people reported missing for the first time in 2005, for ten years using their police records. Over a third went missing more than once. There was evidence of the power few hypothesis, with the habitual/chronic cases recording over 60% of the missing person reports across the study period, and clear differences emerged between single, repeat and habitual/chronic cases in terms of their demographics, mental health concerns, and justice involvement.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
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 head0.158
GPT teacher head0.428
Teacher spread0.270 · 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 designQualitative
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCrimRxivSame topicHomelessness and Social IssuesFrench-language works237,207