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Record W1602460230 · doi:10.3386/w20430

Pathways to Education: An Integrated Approach to Helping At-Risk High School Students

2014· report· en· W1602460230 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueNational Bureau of Economic Research · 2014
Typereport
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsUniversité LavalUniversity of TorontoSimon Fraser University
Fundersnot available
KeywordsMathematics educationPsychologyMedical educationComputer scienceMedicine

Abstract

fetched live from OpenAlex

Pathways to Education is a comprehensive youth support program developed to improve academic outcomes among those entering high school from very poor social-economic backgrounds. The program includes proactive mentoring to each student, daily tutoring, group activities, career counseling, and college transition assistance, combined with immediate and long-term incentives to reinforce a minimum degree of mandatory participation. The program began in 2001 for entering Grade 9 students living in Regent Park, the largest public housing project in Toronto, and expanded in 2007 to include two additional Toronto projects. In all three locations, participation rates quickly rose, to more than 85 percent, even though parents and students were required to commit in writing to conditions and high expectations of the program. Comparing students from other housing projects before and after the introduction of the program, high school graduation and post secondary enrollment rates rose dramatically for Pathways eligible students, in some cases by more than 50 percent.

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.

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)0.017
metaresearch head score (Gemma)0.005
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.805
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.398
GPT teacher head0.574
Teacher spread0.175 · 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