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Record W2140547813

Will the five-year engineering degree survive in Argentina?

2007· article· en· W2140547813 on OpenAlexaboutno aff
Alberto Dams, Carlos Godfrid, Carlos A. Raffo

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicScience, Technology, and Education in Latin America
Canadian institutionsnot available
Fundersnot available
KeywordsLatin AmericansBachelorGeographyPolitical scienceEconomic historyHistoryLaw
DOInot available

Abstract

fetched live from OpenAlex

Traditionally the length of the engineering careers has been six or five years in Argentina. Fr om the first degree granted in 1870 the universities adopt ed the scheme of continental Europe, specially taking into account Spain, France and Italy. If five years or ix were necessary, is on what people disagree. But now all the countries in Europe have changed to 3+2 or 4+1 due to the Bologna agreement. And also, the Washington Accord (Australia, Canada, Hong Kong, Ireland, New Zealand, South Africa, United Kingdom and United States) confirmed the Bachelor and Master scheme. This leaves most of the Latin-American countries as the only ones with a five-year degree. Several meetings have been held in the initiative Ingenieria para las America s searching for a unified criteria. Argentina belongs to the MERCOSUR, with Brazil, Uruguay, Paraguay and Venezuela as full members and Chile and Bolivia as associated members. Brazil already has a 4+1 scheme. So it is easy to forecast that in less than ten years, an agreement for a 3+2 or 4+1 will be drawn first at MERCOSUR level and after that, extended the whole hemisphere. In Argentina the change is not very popular.Professionals associations are against it a nd also radical students. Pro and against arguments are included.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.002
Scholarly communication0.0050.003
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0190.002

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 head0.030
GPT teacher head0.322
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations0
Published2007
Admission routes1
Has abstractyes

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