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Record W3179974341 · doi:10.4018/ijissc.2021070105

The Role of Open Source Software in Mastering Technologies of an Information System and Its Implication to Technology Transfer

2021· article· en· W3179974341 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

VenueInternational Journal of Information Systems and Social Change · 2021
Typearticle
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsBrock University
Fundersnot available
KeywordsConceptualizationKnowledge managementSoftwareComputer scienceOpen source softwareProduction (economics)Domain (mathematical analysis)Resource (disambiguation)SustainabilityTechnology transferSoftware engineeringData scienceMathematicsArtificial intelligenceEconomics

Abstract

fetched live from OpenAlex

The philosophy and practice of open source software (OSS) affected not only software production but also implementation and use. However, little is known about the intricacies of implementation and use of domain-specific, frontend information systems compared to production. Especially, empirical studies that examine the learning mechanisms in OSS implementation in developing countries are scant. This paper fills the gap by investigating the implementation of an OSS in a resource-constrained setting. Drawing upon communities of practice and networks of practice theories, the paper examines the mechanisms of the OSS approach that enable knowledge circulation, technology transfer, innovation, and sustainability, and interrogates the technology transfer conceptualization in the light of the approach. It also highlights the measures practitioners and policymakers should take to benefit from OSS.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.624
Threshold uncertainty score0.364

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.004
Open science0.0010.000
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 head0.022
GPT teacher head0.276
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