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Record W2495817903 · doi:10.1057/9780230120006_1

A Changing World and Changing Community College

2011· book-chapter· en· W2495817903 on OpenAlexaboutno aff
Stewart E. Sutin, Daniel Derrico, Edward J. Valeau, Rosalind Latiner Raby

Bibliographic record

VenuePalgrave Macmillan US eBooks · 2011
Typebook-chapter
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceGlobalizationCommunity collegeHigher educationEconomic growthSociologyMedical educationPublic relationsMedicineEconomicsLaw

Abstract

fetched live from OpenAlex

Although community colleges are called by various names around the world, they all tend to serve as an alternative pathway that offers options for university overflow, adult learners, displaced workers, bright students from low-income families, and therefore, a "second chance" for nontraditional students to gain a basic education that accommodates the educational needs of the communities they serve (Raby and Valeau 2009). These institutions are increasingly called upon as "first responders" to retool displaced workers and meet regional medium-term labor requirements in high-demand occupations (Levin 2001). Increasingly, courses offered at these colleges represent the only avenue for postsecondary education for many students, especially from underprivileged backgrounds. Student enrollment underscores the crucial role of community colleges worldwide as 900,000 full-time and 1.5 million part-time students attend over 900 Canadian community colleges, and 44 percent of all US students attend over 1,177 community colleges (see Raby and Valeau 2009; Eisner, Boggs, and Irwin 2008 for cross-country comparisons). While its core multipurpose mission (Cohen 2009) has not changed appreciably in almost 50 years, economic and sociopolitical globalization has forced community colleges worldwide to reprioritize their central focus and expand their mission.KeywordsCommunity CollegeTransformational LeadershipStudent EnrollmentChange WorldStudent ServiceThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.541
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.059
GPT teacher head0.324
Teacher spread0.265 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2011
Admission routes1
Has abstractyes

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