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Record W7036453277

“BIR QADAM” TAMOYILI ASOSIDA JAMOAT TRANSPOTINING IJTIMOIY HUDUDLARGA KIRIB BORISHINI TASHKIL ETISH YO‘LLARI

2024· article· uz· W7036453277 on OpenAlexaboutno aff

Bibliographic record

VenueUmsida Repository (Universitas Muhammadiyah Sidoarjo) · 2024
Typearticle
Languageuz
FieldComputer Science
TopicMathematics, Computing, and Information Processing
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Product (mathematics)Position (finance)
DOInot available

Abstract

fetched live from OpenAlex

Mazkur maqola "Bir qadam tamoyili" asosida ijtimoiy ob’ektlarga yaqin jamoat transporti tizimini tashkil etishning ahamiyati va yechimlarini o‘rganadi. Unda Toshkent va Qarshi shahrida amalga oshirilayotgan loyihalar va chet el tajribalari, jumladan, Kolumbiya, Madrid, Afina, Toronto, Luksemburg va Buyuk Britaniyaning muvaffaqiyatli transport tizimlari haqida ma’lumotlar keltirilgan. Ushbu tamoyilning ekologik, iqtisodiy va ijtimoiy ahamiyati muhokama qilingan.Kalit so‘zlar:Bir qadam tamoyili, jamoat transporti, transport tizimi, BRT tizimi, ekologik transport, aqlli transport tizimi.Transportni rejalashtirish, Polyar sxema, Arkantik sxema, Panjarasxemasi, jamoat transporti, infratuzilma, avtoturargoh"Bir qadam tamoyili" orqali ijtimoiy ob’ektlarga yaqin transport tizimining tashkil etilishi aholining turmush darajasini oshiradi. Ushbu tamoyilning Toshkent va boshqa shaharlarda joriy qilinishi transport tizimini rivojlantirishda muhim qadam bo‘ladi. Chet el tajribasi esa bu sohada qo‘shimcha yondashuvlar joriy qilish uchun ilhom manbai bo‘lishi mumkin."Bir qadam tamoyili" zamonaviy transport tizimining aholi uchun maksimal qulaylik yaratishga qaratilgan yondashuvlardan biridir. Ushbu tamoyil orqali ijtimoiy ob’ektlar, xususan, shifoxonalar, maktablar, savdo markazlari, va davlat muassasalariga avtobuslar kirib borishini ta’minlash yo‘li bilan tirbandlikni kamaytirish va aholining transport xizmatlaridan foydalanishini yaxshilash mumkin.Butun dunyoda tirbandliklar yirik shaharlarning asosiy muammolaridan biri hisoblanadi.Megapolisning bir qismidan boshqasiga shaxsiy transportda borish juda ko‘p vaqt talab qiladigan jarayon. Yakka tartibdagi transport vositalari doimiy ravishda o‘sib borayotganligi sababli, shaharlardagi haqiqiy transport holatini tahlil qilish muammosi murakkab. Bu kabi muammolarni tahlil qilish va yechimini topishning ko‘plab yo‘llaridan biri jamoat transportini samarali rejalashtirishdir. Transportni rejalashtirish odatda mahalliy darajadagi muayyan muammolar yoki keng miqqiyosdagi transport muammolarini hal qiladi va an’anaviy ravishda quyi darajadagi hukumatning vazifalaridan bo‘lib kelgan. Shu sababli, transportni rejalashtirish eng ko‘p shahar sohasida rivojlangan va tajribalar to‘plangan. Muammoni aniqlash, variantlarni izlash va tanlangan strategiyaniamalgaoshirishhamrejalashtirishdagimuhimqadamlardir.U mahalliylashtirilgan

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.105
Threshold uncertainty score0.350

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1050.024

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 head0.008
GPT teacher head0.209
Teacher spread0.201 · 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 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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