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Record W29306128 · doi:10.17705/1cais.01707

Synthesizing Diversity and Pluralism in Information Systems: Forging a Unique Disciplinary Subject Matter for the Information Systems Field

2006· article· en· W29306128 on OpenAlex

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

VenueCommunications of the Association for Information Systems · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicInformation Systems Theories and Implementation
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsDisciplinePluralism (philosophy)Subject matterField (mathematics)Subject (documents)Diversity (politics)SociologyMultidisciplinary approachEpistemologyIdentity (music)Social scienceComputer scienceAnthropologyCurriculumPhilosophyLibrary sciencePedagogyAestheticsMathematics

Abstract

fetched live from OpenAlex

The issues of diversity, pluralism and the subject matter of the information systems (IS) field are critically analyzed using the philosophical works of Michel Foucault and studies in disciplinarity. This essay argues for the IS field to forge its own unique disciplinary subject matter by synthesizing the diverse discourses of its "reference disciplines" and not by merely drawing from them. Using examples of other established disciplines with equally multidisciplinary origins, this paper analyzes the history of the IS field to uncover the field's subject matter. The proposed subject matter maintains the IS field's richness and diversity without losing its unique identity.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.866
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.000
Scholarly communication0.0010.009
Open science0.0010.001
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 head0.027
GPT teacher head0.301
Teacher spread0.274 · 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