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Record W2081647265 · doi:10.5555/2664446.2664469

The evolution of the social programmer

2012· article· en· W2081647265 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

VenueMining Software Repositories · 2012
Typearticle
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsInsourcingOutsourcingCrowdsourcingCrowdsourcing software developmentProgrammerSoftware developmentSoftwareKnowledge managementComputer scienceWorld Wide WebSocial software engineeringSocial mediaSocial softwareSocial computingSoftware engineeringData scienceBusinessSoftware development processSoftware constructionMarketing

Abstract

fetched live from OpenAlex

Social media has revolutionized how humans create and curate knowledge artifacts [1]. It has increased individual engagement, broadened community participation and led to the formation of new social networks. This paradigm shift is particularly evident in software engineering in three distinct ways: firstly, in how software stakeholders co-develop and form communities of practice; secondly, in the complex and distributed software ecosystems that are enabled through insourcing, outsourcing, open sourcing and crowdsourcing of components and related artifacts; and thirdly, by the emergence of socially-enabled software repositories and collaborative development environments [2].

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.481
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.014
GPT teacher head0.262
Teacher spread0.248 · 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