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Record W2947755379 · doi:10.1187/cbe.19-02-0042

One-Year Research Experience for Associate’s Degree Students Impacts Graduation, STEM Retention, and Transfer Patterns

2019· article· en· W2947755379 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.

Bibliographic record

VenueCBE—Life Sciences Education · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCareer Development and Diversity
Canadian institutionsImpact
FundersCity University of New York
KeywordsGraduation (instrument)Medical educationPsychologyAssociate degreeFocus groupDegree programGraduate studentsMathematics educationPedagogyMedicineEngineeringSociology

Abstract

fetched live from OpenAlex

The CUNY Research Scholars Program (CRSP) provides a yearlong faculty-mentored research experience to associate's degree students. The program takes place at all 10 associate's degree-granting colleges within the City University of New York system. We report on a mixed-methods study of 500 students who participated in the program during its initial 3 years. Quantitative longitudinal assessments revealed that students who engaged in CRSP were more likely to be retained in a science, technology, engineering, and mathematics (STEM) discipline or to graduate with a STEM degree than their counterparts in a matched comparison group. Furthermore, students who participated in CRSP demonstrated an increased likelihood of transferring to the more research-intensive 4-year schools within the CUNY system and to R1 universities outside the CUNY system. CRSP students reported an increased sense of belonging in college based on survey data, and focus groups with their mentors provided insight into the factors that led to the gains listed above. These combined results-of student data analysis, student surveys, and mentor focus groups-provide evidence that early research experiences for associate's degree students contribute to their academic success.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.255
GPT teacher head0.435
Teacher spread0.180 · 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