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Record W2133823354 · doi:10.5539/ass.v7n12p163

Research on the Management of Urban Unlicensed Mobile Street Vendors --- Taking Public Satisfied Degree as Value Orientation

2011· article· en· W2133823354 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAsian Social Science · 2011
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFranchising Strategies and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessContradictionLaw enforcementEnforcementGovernment (linguistics)Value (mathematics)City managementComputer sciencePublic administrationLawPolitical science

Abstract

fetched live from OpenAlex

The paper studies on management of urban unlicensed mobile vendors on the street, taking public satisfied degree as value orientation, based on 119 public surveys’ data. The results show that the public hope the government works out appropriate policies to make difficult problems clear in allusion to the effective management of urban unlicensed mobile street vendors. It’s necessary to actively enhance the interaction between unlicensed mobile vendors on the street and urban management and law enforcement officers. Urban management and law enforcement officers should humanize management to unlicensed mobile street vendors. It’s efficient to resolve the contradiction between them by building a unified management area to achieve a satisfied management of unlicensed mobile street vendors for the public.

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.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.895
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.116
GPT teacher head0.331
Teacher spread0.215 · 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