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Record W2271947231 · doi:10.7939/r3-wbr5-yd60

Involvement, Contribution and Influence in Github and Stack Overflow

2014· article· en· W2271947231 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

VenueUniversity of Alberta Library · 2014
Typearticle
Languageen
FieldComputer Science
TopicSoftware Engineering Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsComputer scienceReputationContext (archaeology)Stack (abstract data type)Set (abstract data type)SoftwareWorld Wide WebCode (set theory)Social network (sociolinguistics)Core (optical fiber)Source codeData scienceSocial mediaProgramming languageTelecommunications

Abstract

fetched live from OpenAlex

Software developers are increasingly adopting social-media platforms to contribute to software development, learn and develop a reputation for themselves. GitHub supports version-controlled code sharing and social-networking functionalities and Stack Overflow is a social forum for question answering on programming topics. Motivated by the features' overlap of the two networks, we set out to mine and analyze and correlate the members' core contributions, editorial activities and influence in the two networks. We aim to better understand the similarities and differences of the members' contributions in the two platforms and their evolution over time. In this context, while studying the activities of different user groups, we conducted a three-step investigation of GitHub activity, Stack Overflow activity and inter-network activity over a five-year period. We report our findings on interesting membership and activity patterns within each platform and some relations between the two.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.240

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 communication0.0000.001
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 head0.005
GPT teacher head0.176
Teacher spread0.171 · 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