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Record W2389516833

Integration of City Symbolic Image:A Case Study

2009· article· en· W2389516833 on OpenAlex
Zhibin Zhang

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of The Northwest Normal University · 2009
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsScience North
Fundersnot available
KeywordsConnotationThe SymbolicImage (mathematics)TasteConstruct (python library)Theme (computing)AestheticsSociologyGeographyAdvertisingEconomic geographyComputer scienceArtificial intelligenceBusinessPsychologyArtLinguistics
DOInot available

Abstract

fetched live from OpenAlex

The city symbolic image is the external embodiment of a city spirit and cultural connotation,which has many-sided functions and values.Natural environment is unique in Lanzhou,and there is deep accumulation of the history and culture there.However,its symbolic image is lopsided in the spatial arrangement,and its region characteristic and marketing protection are limited.This paper,based on regional culture,believes that the city of Lanzhou should construct theme marking image centering on the yellow river culture,molding symbolic image of nodes accordance with function,and integral landscape image of the coordination of man and nature relying on environmental background.Implementation of these measures could lift its taste,enhance its competitive ability,and effectively promote socioeconomic sustainable development of the city.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.266
Threshold uncertainty score0.204

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.016
GPT teacher head0.246
Teacher spread0.229 · 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