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Record W4252968124 · doi:10.24124/2004/bpgub1274

Evaluation of the community agency Future Cents

2004· dissertation· en· W4252968124 on OpenAlexaff
T. Wainwright

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsFeelingMainstreamAgency (philosophy)PsychologyMedical educationSelf-esteemSocial psychologyMedicinePolitical scienceSociologySocial science

Abstract

fetched live from OpenAlex

This project evaluated the change in self-esteem as identified by the young people who completed the Future Cents Program.The goal of the Future cents program is to teach youth considered "high risk" how to obtain and maintain employment in mainstream society.Twelve participants who had successfully completed the program were interviewed.Of the twelve participants, five graduated from the program in the spring of 2000, three graduated in the spring of 2001, and the remaining four graduated in 2002.At the time of the interviews, two of the participants were under 19 years-of-age and the remainder were 20 to 25 years-of-age.The questions were designed to help the participants consider how the program affected them and their feelings of self-esteem.As part of the interview, they were asked, on a scale of 1 -10, what their self-esteem was before entering the program and what they thought it was after they completed the program.

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)0.017
metaresearch head score (Gemma)0.021
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.067
GPT teacher head0.409
Teacher spread0.343 · 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
Published2004
Admission routes1
Has abstractyes

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