MétaCan
Menu
Back to cohort
Record W4318707500 · doi:10.5539/jsd.v16n2p13

Sustainable Management Practice (SMP) of Green Features in Office Property in Lagos, Nigeria

2023· article· en· W4318707500 on OpenAlexvenueno aff
Tosin B. Fateye, Funmilayo M. Araloyin, Adewale R. Adedokun, Toluwalase G. Oluwole

Bibliographic record

VenueJournal of Sustainable Development · 2023
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessProperty managementProperty (philosophy)StatisticIndex (typography)Environmental economicsMarketingOperations managementFinanceEconomicsComputer science

Abstract

fetched live from OpenAlex

In this study, we examine the adoption of sustainable management practice (SMP) for green features in an office building using Lagos office property as a case study. The opinion of the professional property managers was sampled, and their responses were analyzed by weighted mean score (WMS), one simple test statistic (t-stats), severity index (S.I.), and factor analysis model. The study discovered that while energy-efficient related green features were the most incorporated, property managers often manage the efficient use of spaces among other green features in the office property. The property managers are yet to fully adopt the SMP, but sustainable resource management and repair and replacement maintenance management were highly considered among the SMP. The challenges of SMP were categorized into three broad barriers: GB project cost/finance, economic/market expectation, and professionalism/institutional barriers. We concluded that the country's property managers are yet to adopt SMP fully. We recommended the integrated GB practice advocacy, encouragement of strong institutional backing for developing the country's GB rating tools, and professionalism for SMP to thrive in the country.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.572
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.009
GPT teacher head0.241
Teacher spread0.232 · 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 designQualitative
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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Sustainable DevelopmentSame topicSustainable Building Design and AssessmentFrench-language works237,207