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Record W7120616997

Por uma história do ensino de engenharia na Universidade Regional do Cariri (URCA): 1993 - 2023

2023· dissertation· pt· W7120616997 on OpenAlexaboutno aff

Bibliographic record

VenueLA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · 2023
Typedissertation
Languagept
FieldSocial Sciences
TopicEducation Pedagogy and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsConstitutionIdeologyQuarter (Canadian coin)State (computer science)HistoriographyHigher educationMarxist philosophy
DOInot available

Abstract

fetched live from OpenAlex

This dissertation presents a historical analysis of the creation and development of the Production Engineering course at the Universidade Regional do Cariri (URCA), starting in 1993, when the first steps were taken to create the course. The study extends to the present moment (2023), on the eve of its 30th anniversary. The dissertation supports the claim that, from a historical perspective, the functions and social characteristics of the training of production engineers were shaped by a logic strongly marked by neoliberal ideology, particularly from the last quarter of the 20th century. Therefore, within this context, the primary model of the production engineering teaching modality is the final ideological expression of the neoliberal stage of the capitalist accumulation pattern, whose purpose is to ultimately serve the market and satisfy its desires. The study is affiliated with the research track “Educação, estudos sócio-históricos e filosóficos da educação brasileira” of the Graduate Program in Education of the Universidade Federal do Rio Grande do Norte. The theoretical-methodological framework of the study, mainly guided by the Marxist tradition, establishes vital categories of analysis such as “social classes,” “class struggle,” “ideology,” “hegemony,” “neoliberalism,” “education and work,” promoting a deeper understanding of class contradictions in the period analyzed. The study is supported by extensive historiographical research and sources on the constitution of educational institutions and professional entities linked to the teaching and practice of engineering. The dissertation also reflects on the impacts of neoliberal policies adopted in higher education at state universities in Ceará, leading to the emergence of the first and only engineering course at URCA in the 1990s. The goal is to identify the actors who benefit from the creation of such a course in a small public institution of higher education in the context of the governments of Tasso Jereissati (1995 - 1999) as the State Governor of Ceará, and Fernando Henrique Cardoso (1995 - 2002) as the President of Brazil. In such a period, hundreds of new engineering courses were created due to the mandatory demand from big business to “produce more in less time.” Nonetheless, the engineering course at URCA - made to fit perfectly into the institutional design of Ceará´s higher education system of the Tasso/FHC era - suffered setbacks throughout its three decades of existence. The study shows that the course has not followed the continuous fiscal adjustment of the State nor the corporate greed for quick and easy returns on public and private investments - crucial characteristics of the neoliberal paradigm.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.176
Threshold uncertainty score0.350

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0040.003
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.049
GPT teacher head0.318
Teacher spread0.269 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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