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Record W2114392948 · doi:10.1177/003804070908200201

Beyond Access: Explaining Socioeconomic Differences in College Transfer

2009· article· en· W2114392948 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

VenueSociology of Education · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsBarrick Gold (Canada)
Fundersnot available
KeywordsSocioeconomic statusBachelorCommunity collegePsychologyHigher educationDemographic economicsClass (philosophy)Social classMathematics educationSocial psychologySociologyMedical educationDemographyPolitical scienceEconomicsEconomic growthMedicinePopulation

Abstract

fetched live from OpenAlex

Reducing socioeconomic differences in college transfer requires understanding how and why parental education, occupational class, and family income are associated with changing colleges. Building on prior studies of traditional community college transfer, the authors explore relationships between those factors and two types of transfer among four-year college students. The results indicate that reverse transfer—the move from a four-year to a community college—is more common among students from less-educated families partly because of lower levels of academic performance during their freshman year. In contrast, students from advantaged backgrounds in terms of class and income are more likely than are others to engage in a lateral transfer—from a four-year to a four-year college—which may reflect individual preferences for changing colleges, rather than a reaction to poor academic performance. Implications for policy and practice are discussed in light of the fact that only reverse transfer is associated with lower rates of completion of bachelor's degrees.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score0.607

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.046
GPT teacher head0.417
Teacher spread0.371 · 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