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Record W2036217063 · doi:10.1108/00242530610689356

Emergent user roles and perceived requirements in a social‐oriented community

2006· article· en· W2036217063 on OpenAlexaboutno aff
Jih‐Hsin Tang, Heng‐Li Yang

Bibliographic record

VenueLibrary Review · 2006
Typearticle
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsOriginalityPerceptionOnline communityValue (mathematics)User requirements documentComputer sciencePopulationQuarter (Canadian coin)Requirements analysisKnowledge managementWorld Wide WebPsychologySocial psychologySociology

Abstract

fetched live from OpenAlex

Purpose To explore the relationship between emergent user roles and perceived importance of user requirements in a social‐oriented community. Design/methodology/approach A field study was designed to uncover hidden online social networks, and to elicit and rate user requirements. Findings User roles might have an impact on their perceptions of requirements. The study showed that significant differences of perceptual requirements on regulation and links exist across user roles. Research limitations/implications Only a small‐sized online community (approximately 300 members) participated in this study. One‐quarter of the population filled out the online survey. Practical implications Online community builders should invite a handful of different user roles to participate in the design and evolutionary processes of information systems. Originality/value The paper challenges popular views about the design of online communities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.049
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.049
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.286
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations13
Published2006
Admission routes1
Has abstractyes

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