MétaCan
Menu
← Back to cohort
Record W2289191152 · doi:10.14288/1.0053711

The early recollections of male and female street involved youth

2010· article· en· W2289191152 on OpenAlexaboutno aff
Shana V. Cherry

Bibliographic record

VenuecIRcle (University of British Columbia) · 2010
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyGender studiesHistorySociology

Abstract

fetched live from OpenAlex

The early recollection technique has been in use since the late 1800s. In recent years early recollections have been utilized to analyze a number of different populations (e.g., alcoholics, homosexual men). The present study looks at the early recollections (ERs) of a number of male and female street involved youth. It is exploratory in nature as it presents the first ER research on street youth. No prior research was available for comparative purposes. The population consists of 32 subjects, whose average age is 20 years. Subjects were chosen from a downtown Vancouver drop-in centre. A scoring system, part of which was derived from an earlier study, is used to analyze the memories. The results generally indicate that males and females are passive agents in their actions, have memories that possess negative affect, and are externally controlled. In addition, the males have issues with their sexuality, and gender differences are evident with regard to role-activity and sexuality. This study also highlights the fact that more than half of the sample came from broken homes, had completed grade 10, had Catholic upbringings and, once on the street, were heavily involved in drug use.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.026
GPT teacher head0.259
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2010
Admission routes1
Has abstractyes

Explore more

Same venuecIRcle (University of British Columbia)→Same topicHomelessness and Social Issues→French-language works237,207→