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Web Initiatives and E-Commerce Strategy

2003· book-chapter· en· W18765914 on OpenAlexaffabout
Ron Craig

Bibliographic record

VenueIGI Global eBooks · 2003
Typebook-chapter
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsThe InternetBusinessWork (physics)Product (mathematics)Work forceE-commerceIndustrial organizationCommerceMarketingEngineeringPolitical science

Abstract

fetched live from OpenAlex

Two important forces are at work today in the Canadian and global economies. First is the traditional force of small- and medium-sized enterprises (SMEs). Statistics Canada reports SMEs account for more than 60% of Canada’s private sector employment and 40% of gross domestic product. Second, Information Technology (IT) and the Internet continue to change the way businesses and individuals work, shop, and relax. In particular, the Internet and Electronic Commerce (EC) are heralded as a great opportunity for business, consumers, and governments. The impact on SMEs is somewhat uncertain and still emerging. Some argue the Internet levels the playing field, giving smaller firms greater opportunity to compete against larger firms. Others argue that, because SMEs generally have fewer resources available for IT or other initiatives, they could be left behind. In addition, because of their size, SMEs have minimal control or influence over such external forces.

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 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: none
Teacher disagreement score0.883
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 communication0.0000.000
Open science0.0000.000
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 head0.020
GPT teacher head0.248
Teacher spread0.228 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations3
Published2003
Admission routes2
Has abstractyes

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