MétaCan
Menu
Back to cohort
Record W2902679047 · doi:10.5539/jsd.v11n6p59

Traditional Kitchen Design for Sustainable Low-Income Dwellings in Developing Countries

2018· article· en· W2902679047 on OpenAlexvenueno aff
Eugene Ehimatie Atamewan, Ekpo E Otu

Bibliographic record

VenueJournal of Sustainable Development · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsArchitectural engineeringGeographyOrder (exchange)Local government areaIndex (typography)Unit (ring theory)Government (linguistics)BusinessCivil engineeringLocal governmentEngineeringComputer sciencePsychologyArchaeology

Abstract

fetched live from OpenAlex

The place of kitchens in contemporary designs is quite different from the traditional designs in terms of location, aesthetics and furnishing. Thus, this paper discussed development in kitchen designs over the past centuries and place emphasis on sustainable low-income kitchen design. The study examined the location of kitchens in contemporary dwellings in comparison with traditional dwellings in order to create a hybrid kitchen design that is sustainable, attainable and acceptable to contemporary and traditional individuals. Research methodology involved descriptive survey; with primary data obtained using structured questionnaire, systematic observation and interview with occupants of buildings in Awi community,  Akamkpa Local Government Area of Cross River State, Nigeria which is the study area. These were complemented with photographs of kitchens in the existing buildings within the area of study. 50 buildings purposely selected were studied to determine the designs, and placement/location of kitchens in these buildings in relation to the contemporary buildings respectively. Finally, the data collected were analyzed using simple statistical tool to obtain percentages, rankings and relative significance index (RSI) respectively to determine the reasons for the design and location of the kitchen. The result shows that of the five variables examined, cultural influence was the most significant reason for the location of kitchens outside the housing unit. The recommendation is that low-income dwelling should have kitchen space within in addition to the attached or detached kitchens in their dwellings.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.806
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.044
GPT teacher head0.278
Teacher spread0.234 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Sustainable DevelopmentSame topicUrban and Rural Development ChallengesFrench-language works237,207