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Record W4399667071 · doi:10.1186/s40461-024-00159-z

Examining career and technical education (CTE) pathways in historically Black colleges and universities (HBCUs)

2024· article· en· W4399667071 on OpenAlex
Kevin M. Williams, Vinetha Belur, Zhitong Yang

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueEmpirical research in vocational education and training · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsnot available
Fundersnot available
KeywordsHistorically black colleges and universitiesQuarter (Canadian coin)African americanPolitical scienceHigher educationEconomic growthDemographic economicsSociologyEconomicsGeography

Abstract

fetched live from OpenAlex

Abstract Career and technical education (CTE) is considered a key academic pathway for sustainable careers in several high-growth industries. However, African–American employees are underrepresented in these industries. Historically Black colleges and universities (HBCUs) may represent invaluable options to address this inequality. Our analysis of the Integrated Postsecondary Education Data System (IPEDS) suggests that HBCUs provide fewer CTE options than a matched sample of non-HBCUs. The most commonly available CTE programs appear in less than one-quarter of HBCUs, and nearly one-quarter of CTE industries are unrepresented. Although some programs are well-positioned to address African–American employee underrepresentation, others are completely absent. Findings connecting HBCU CTE programs to occupations with high projected growth or living wage salaries are also mixed. Overall, these results may be informative for academic policymakers, administrators, and students.

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)0.003
metaresearch head score (Gemma)0.001
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 score0.606
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.318
GPT teacher head0.486
Teacher spread0.168 · 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