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Record W4402722973 · doi:10.5539/jel.v13n6p255

State Public Schools and Thermal Comfort: The Case of Eemti Monsenhor José Gerardo Ferreira Gomes in the City of Sobral (CE) – Brazil

2024· article· en· W4402722973 on OpenAlexvenueno aff
Francisco Wilker Mustafa Gomes Muniz, Isorlanda Caracristi

Bibliographic record

VenueJournal of Education and Learning · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Environments and Student Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)HumanitiesMathematics educationSociologyGeographyPsychologyArtMathematics

Abstract

fetched live from OpenAlex

This article aims to analyze the thermal comfort of the courtyard/cafeteria of the Monsenhor José Gerardo Ferreira Gomes Full-Time High School (EEMTI), from the perspective of the Disconfort Index (DI). The research was guided by the theoretical assumptions defined by Professor Carlos Augusto de Figueiredo Monteiro (2003), who defined a theoretical and methodological framework for the understanding of the urban factor, through the Urban Climate System (UCS). The aforementioned school, located on the outskirts of the city of Sobral/CE-Brazil, underwent changes in its teaching modality in 2017, changing to the full-time education system, where students remain at school all day, eating three meals. However, the building, even though it has undergone some adaptations for this new modality, is the same as when it was inaugurated in 1977. This fact, associated with the local environmental conditions of hot semarid climate, typical of the Brazilian Northeast, makes it difficult for students to accommodate and remain in outdoor spaces. The results collected and the DI analysis indicate a situation of thermal discomfort in most of the times analyzed, even though the research took place in the rainy season for the region, which presents a lot of cloudiness and milder temperature conditions.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.062
Threshold uncertainty score0.211

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.034
GPT teacher head0.374
Teacher spread0.340 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2024
Admission routes1
Has abstractyes

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