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Record W2164165874 · doi:10.1177/0266382103202008

The Changing Face of Business Information - Two Steps Forward, One Step Back: OneSource’s Response to the Business Information Resources Survey 2003

2003· article· en· W2164165874 on OpenAlexaff
Stuart Small

Bibliographic record

VenueBusiness Information Review · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicBig Data and Business Intelligence
Canadian institutionsNutrasource
Fundersnot available
KeywordsBusinessGeneral partnershipMarketingWork (physics)Business informationPoint (geometry)Face (sociological concept)Knowledge managementPublic relationsComputer scienceFinance

Abstract

fetched live from OpenAlex

Offers a number of comments and observations on the Business Information Resources Survey 2003 from the viewpoint of the work and experience of OneSource. A comparison is made between this Survey and selected results taken from the OneSource Information Services 2002 customer survey. Although the BIR Survey respondents indicated a decline in use of OneSource for financial information (from 19% to 7%), this finding is not supported by OneSource’s own statistics, where company financials data was found to remain the most popular type of content, client retention rates remain very high and overall usage rose considerably. OneSource saw a 23% increase in the number of active users during 2002, whilst during the same period the total number of client sites grew by 6%, suggesting a greater intensity of both users and usage within subscribing organisations and demonstrating more widespread usage of business information. Both surveys point to the fact that the roles of information professionals and the business information sector are evolving, with evidence of a more strategic approach to knowledge sharing, a commitment to the sector and a growing level of in- depth usage. Nevertheless, there are still areas of concern, particularly the lack of a true partnership and relationship between buyer and seller that is exacerbated by current economic conditions. While it is not possible to predict what 2003 will bring for the economy and the industry at large, how information professionals choose to address their future is very much in their own hands.

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)0.009
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.792
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.016
Science and technology studies0.0010.000
Scholarly communication0.0020.021
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.003

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 head0.045
GPT teacher head0.272
Teacher spread0.227 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2003
Admission routes1
Has abstractyes

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