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Record W1905469789 · doi:10.18235/0008788

Community Colleges: Is There a Lesson in Them for Latin America?

2001· report· en· W1905469789 on OpenAlexaboutno aff
Cláudio de Moura Castro, Andrés Bernasconi, Aimee Verdisco

Bibliographic record

Venuenot available
Typereport
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansMathematics educationPolitical sciencePsychologyLaw

Abstract

fetched live from OpenAlex

As secondary education in Latin America and the Caribbean expands its reach and more attention is given to the post-secondary level, new demands are placed on educators and ministries. New methods of teaching will have to be found, new markets for graduates will have to be identified, and better targeting mechanisms for matching students with the market's real demand for labor will have to be defined and implemented. In short, the very definition of secondary and post-secondary education will have to be reexamined. It is in this regard that the community college model prevalent in the United States and Canada merits closer examination. Several countries in Latin America and the Caribbean have experience introducing short post-secondary courses and nonuniversity institutions, sometimes as a result of private initiative, sometimes as a matter of public policy. Europe and North American models have inspired these innovations. Yet, this paper contends that more needs to be done in this area, in all countries and it explores in depth the model of the community college as an interesting source of ideas and relevant responses to changes in the social and economic landscape of the region. It also explores the potential the community college model holds for Latin America. The author's hope is that countries and institutions will look at this model not as something that should be necessarily imitated, but for inspiration and as an opportunity to reflect on the relevance and effectiveness of the current supply of post-secondary education and training.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.120
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.287
GPT teacher head0.507
Teacher spread0.220 · 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 designNot applicable
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

Citations9
Published2001
Admission routes1
Has abstractyes

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