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Record W6979884376

Analisis Mobilitas Sirkuler Pedagang Kaki Lima Di Kawasan Alun-Alun Pancasila Kecamatan Sidomukti Kota Salatiga

2021· other· en· W6979884376 on OpenAlexaboutno aff

Bibliographic record

VenueUMS Library Center of Academic Activities (Universitas Surakarta) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSquare (algebra)PopulationDescriptive statisticsChi-square testUrban areaQuarter (Canadian coin)Descriptive researchSurvey research
DOInot available

Abstract

fetched live from OpenAlex

Based on the location, Pancasila Square is in a strategic location, it is located in the center of Salatiga. To the west of the square there is a circular path used by the community to pass from Salatiga city to Bawen, Ambarawa and Semarang. To the east of the square there is an arterial road to the city of Salatiga, which is not too far from the main square which connects the city of Salatiga with the cities of Boyolali and Surakarta. To the south of the square there is a road that connects the city of Salatiga with Magelang regency. So, automatically newcomers both from outside and from within the city of Salatiga will also increase and decrease. From this population movement, is there any influence on the mobility actors themselves with workers in the informal sector as street vendors. With the rise of Covid-19, does it have an impact on people who carry out mobility with street vendors selling in the square area. The objectives of this study are: (1) Analyzing the mobility of street vendors in the square area (2) The effect of covid-19 on street vendors and (3) survival strategies for street vendors in the Pancasila square area, Sidomukti Kota District Salatiga. The method chosen in this study is a survey research method using a questionnaire to obtain data. Sampling was 40 respondents from a total population of 54 street vendors. This research uses descriptive analysis and spatial analysis (spatial). There were 17 street vendors from outside the city in the province with a percentage of 42.5% compared to 13 respondents from outside the inner-city sub-districts with a percentage of 32.5%. There were 22 respondents who chose the type of boarding / overnight mobility or 55% more than the shuttle / commuting mobility as many as 18 respondents or 45%. Covid-19 affects the income of street vendors by 60% for food sellers, 56% for beverage sellers, and 54% for services. The survival strategy of street vendors looking for side jobs, traders continue to sell during the pandemic by adhering to health protocols and using the internet as a breakthrough in selling and promoting merchandise online.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.001

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 head0.018
GPT teacher head0.242
Teacher spread0.224 · 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 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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