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مفهومسازی پدیدارشناسانه هسته نهادی برنامهریزی فضایی راهبردی کیفیت محیطی روستاهای شهرستان کازرون

2020· article· fa· W2965667632 on OpenAlexaff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2020
Typearticle
Languagefa
FieldEnvironmental Science
TopicKorean Urban and Social Studies
Canadian institutionsYork University
Fundersnot available
KeywordsConceptualizationSpatial planningCore (optical fiber)Environmental qualityGeographyEnvironmental planningSociologyPolitical scienceComputer sciencePhysicsArtificial intelligenceOptics

Abstract

fetched live from OpenAlex

The present research seeks to detail a phenomenological conceptualization of institutional core with a retroductive-deductive research strategy in the spatial planning of environmental quality in the case study. Planning polices in these settlements do not include stakeholders’ participation and are often top-down. Also, specialization and sectorial view in the planning of sustainable spatial development of the villages and the existence of a prevailing physical approach that did not pay attention to economic, socio-cultural, and ecological issues, led to the change of land use. Agricultural land has been used by other users, and with the passing of time, urbanism has become more popular with the spirit of consumerism, weakening of production morale, reducing the level of economic productivity, and eventually reducing the environmental quality of these villages. According to the lived experiences of the rural inhabitants and the participants, by focusing on rural groups and customs and behavioral patterns in their daily lives in the form of participatory workshops and using the snowball method, this study examined the environmental quality. In addition, in the framework of these two methods of planning, the methodology of participatory assessment of environmental quality and participatory assessment of rural communication were used to analyze the concepts with tools such as interviews and group discussions, which included 9 semi-structured interviews and 9 participatory workshops with the presence of rural groups, and the institutional cores were determined from the point of view of the participants in the definition of village, quality of values, knowledge, leadership, strategic planning, integration, rural-urban linkages and citizenship rights.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.003

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 head0.351
GPT teacher head0.541
Teacher spread0.190 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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