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Record W4226466007 · doi:10.25124/idealog.v6i2.4249

CORRELATION BETWEEN DESIGN, SERVICE AND ACTIVITY FACTOR IN CO-WORKING SPACE

2021· article· en· W4226466007 on OpenAlexaff
Sofia Pamela, Hanson Endra Kusuma

Bibliographic record

VenueIdealog Ide dan Dialog Desain Indonesia · 2021
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSpace (punctuation)Dimension (graph theory)Working environmentWork (physics)Service (business)CreativityNatural (archaeology)Architectural engineeringComputer sciencePsychologyEngineeringBusinessSocial psychologyGeographyMathematicsMarketingMechanical engineering

Abstract

fetched live from OpenAlex

The alteration of way people working caused by economy based knowledge, creativity and digital creates the spread of Co-working Space. This study aimed to identified correlation between design, services and avtivity factor in Co-working Space. Analysis result showed there are five dimension design characteristics of Co-working Space: serenity and health, physiological comfort, uniqueness, privacy and natural environment, and simplicity. Analysis result also showed six dimension of services of Co-working Space: service, restorative and work facilities, accesibility, supporting facility, complement facility, and community. Acitivity dimension of Co-working Space are educative, business, restorative, supporting, creative work, and interactive work activities. Activity dimension that has the highest mean is interactive work, restorative, and creative work activity which is has correlation with service, accessibility, and community. Those three activities also has correlation with design factor: serenity and health, physiological comfort, privacy and natural environment, and simplicity. Kata kunci : Sequential mixed-method, Karakteristik Co-working Space, Korelasi multivariat.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.104
GPT teacher head0.393
Teacher spread0.289 · 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 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
Published2021
Admission routes1
Has abstractyes

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Same venueIdealog Ide dan Dialog Desain IndonesiaSame topicOccupational Health and Safety ManagementFrench-language works237,207