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Culturally Customizing International Web Sites

2010· book-chapter· en· W2484385362 on OpenAlex
Mahmud Akhter Shareef, Yogesh K. Dwivedi, Michael D. Williams, Nitish Singh

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

VenueIGI Global eBooks · 2010
Typebook-chapter
Languageen
FieldComputer Science
TopicDigital Communication and Language
Canadian institutionsCarleton University
Fundersnot available
KeywordsWeb siteWorld Wide WebPersonalizationBusinessWeb Accessibility InitiativeLocale (computer software)Web standardsWeb designWeb developmentComputer scienceWeb intelligenceThe Internet

Abstract

fetched live from OpenAlex

As global e-commerce is expanding and the global online marketplace is becoming more lucrative for marketers, there is a surge in proliferation of international Web sites. However, most marketers equate their ability to tap the global online market by simply creating multilingual international Web sites. This chapter shows that effective international Web presence is not just about translating a Web site into local language. A truly localized Web site is one that is linguistically, technically and most importantly culturally customized to locale-specific requirements. This chapter provides insights into the importance and impact of Web site cultural customization on consumer perceptions of international Web sites.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.821
Threshold uncertainty score1.000

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 communication0.0010.000
Open science0.0030.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.255
Teacher spread0.237 · 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