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Record W2645311966 · doi:10.1177/1420326x17717074

Differences in teachers’ satisfaction with indoor environmental quality and their well-being in new, renovated and non-renovated schools

2017· article· en· W2645311966 on OpenAlexafffundabout
Abdul-Manan Sadick, Mohamed Issa

Bibliographic record

VenueIndoor and Built Environment · 2017
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsUniversity of Manitoba
FundersNational Research Council CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsPsychologyPerceptionSchool teachersEnvironmental qualityQuality (philosophy)Applied psychologyMedical educationMathematics educationPolitical scienceMedicine

Abstract

fetched live from OpenAlex

Most studies on buildings’ renovations in relation to indoor environmental quality (IEQ) and occupants’ well-being have focused on offices, while those investigating schools focused on students rather than teachers. Most of these studies limited their assessment of well-being to occupants’ satisfaction with IEQ factors, overlooking essential aspects related to psychological, social and physical well-being. This article presents results of a research conducted in 32 schools in Manitoba, Canada, to assess teachers’ IEQ satisfaction and well-being in new, renovated and non-renovated schools. The research involved adapting and refining an IEQ satisfaction survey and developing and refining three new surveys to assess teachers’ psychological, social and physical well-being. The results of the refined surveys showed statistically significant differences in teachers’ satisfaction with IEQ factors between the new and renovated schools on one hand and the non-renovated ones on the other. However, no statistically significant differences were found in teachers’ psychological, social and physical well-being perceptions between all pairs of the three school categories analysed. Association analyses suggested a potential indirect impact of schools’ renovations on teachers’ well-being via their satisfaction with IEQ. The results of this study should aid school managers in making strategic decisions about the maintenance of their existing schools.

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)0.001
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 score0.029
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.327
Teacher spread0.290 · 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

Citations15
Published2017
Admission routes3
Has abstractyes

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