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Record W2204297589 · doi:10.5539/mas.v10n1p103

Protection of Privacy in Designing of Residential Complexes Architecture and Its Effect on Constructive Relations among the Residents

2015· article· en· W2204297589 on OpenAlexvenueno aff
Shirin Javanshir

Bibliographic record

VenueModern Applied Science · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsConstructiveModerationPersonalityQuality (philosophy)Relation (database)SociologyCivilizationPsychologySocial psychologyCriminologyLawPolitical scienceEpistemologyComputer science

Abstract

fetched live from OpenAlex

<p class="zhengwen"><span lang="EN-GB">Abode is the most important provider of civilization and house is the best protection of social culture of the society. Abode is the protector of the family dynasty and the relations among its members. Having suitable abode like other human needs is one of the primary rights of humans and it has been emphasized in constitutional law (article thirty one). Lack of abode and its unsuitable quality has direct and close relation with increasing of delinquency, divorce and social disruption and it is accounted as a deterrent factor in social, cultural and mental development and moderation. Also not having abode causes to create the social abnormal phenomena such as sleep street, hutment and slum that such life gives abnormal personality structure to the person. Lack of abode or its unsuitable quality is accounted an effective factor in creating phenomena like anxiety, depression and behavorial disorders and causes to decrease the mental and physical resistence of the person in facing with problems. Therefore planning for protection of privacy and residents independency despites the existence of healthy and constructive social interactions in residential complexes is an important thing. The purpose of this research is discussing about the importance of constructive privacy existence in residential complexes and the manner, quality and effective factors in formation of it. In order to promote the research, descriptive-analytic methodology has been applied and the method of information collecting is in the kind of documentary study which is embarked to analyze the received information by using of qualitative contents analysis.</span></p>

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score0.479

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 studies0.0000.001
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 head0.045
GPT teacher head0.286
Teacher spread0.242 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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