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Record W776610587

National Study of Living-Learning Programs: 2007 Report of Findings

2008· article· en· W776610587 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigital Repository at the University of Maryland (University of Maryland College Park) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Systems and Policy
Canadian institutionsnot available
FundersEuropean Social FundIllinois State UniversityMichigan State UniversityUniversity of South CarolinaState University of New YorkCollege of Engineering, Michigan State UniversitySyracuse UniversityUniversity of MissouriGeorge Washington UniversityNorthern Illinois UniversityColorado State UniversityUniversity of California, IrvineUniversity of Wisconsin-MadisonOhio State UniversityYork UniversitySan José State UniversityUniversity of MiamiBowling Green State UniversityEdna Bailey Sussman FoundationOregon State UniversityGeorge Mason University
KeywordsComputer science
DOInot available

Abstract

fetched live from OpenAlex

This comprehensive report of findings presents the results from a survey of over 22,000 undergraduates representing over 40 American postsecondary institutions. The study examines the contributions of participation in a living-learning program on undergraduate student outcomes. Results are presented by institutional type, living-learning program type, longitudinal findings, and outcomes for women who are science, technology, engineering, and mathematics (STEM) majors.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.228
Teacher spread0.210 · 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