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Record W6909829427 · doi:10.3886/e197802v1

Code for: The Long-Term Effects of Career Guidance in High School and Student Financial Aid: Evidence from a Randomized Experiment

2025· dataset· en· W6909829427 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

VenueICPSR Data Holdings · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsGraduation (instrument)Psychological interventionIntervention (counseling)Randomized controlled trialRandomized experimentControl (management)Earnings

Abstract

fetched live from OpenAlex

This is the code accompanying the article "The Long-Term Effects of Career Guidance in High School and Student Financial Aid: Evidence from a Randomized Experiment." The paper studies the effects of a randomized control trial in which Canadian high school students were randomly invited to participate in a career guidance program during high school and/or made eligiblef or extra financial aid conditional on college enrollment. I use administrative records to examine the effects of the interventions on college enrollment, graduation, and income up to age 29. The guidance intervention increased students four-year college enrollment and graduation rates and had positive effects on individuals’ income in adulthood. The financial aid intervention had a significantly lower impact on individuals’ income in adulthood despite also increasing college enrollment.

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)0.004
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.548
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0060.005
Research integrity0.0000.001
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 head0.038
GPT teacher head0.347
Teacher spread0.309 · 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

Quick stats

Citations1
Published2025
Admission routes2
Has abstractyes

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