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Record W4248468457 · doi:10.32920/ryerson.14664468

Google's affair with Open Source Software: from browser wars to mobile domination

2021· preprint· en· W4248468457 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsnot available
FundersYork University
KeywordsBattleWorld Wide WebMobile deviceComputer scienceSocial mediaInternet privacyControl (management)SoftwareMobile WebMobile technologyOperating system

Abstract

fetched live from OpenAlex

"Daily communication is facilitated by digital technologies through Web sites and social media, and accessed via computers and mobile devices (Meeker, Devitt, & Wu, 2009). The computer has "transformed the way we live, work and play" (Lunenfeld, 2011, p. 143). Communication devices are driving the development of technology standards that are very powerful for consumers, but even more powerful and profitable for the companies that control them. A battle continues for control over the way we access information online via Web browsers on computers and mobile devices. The owner of the most popular interface has an advantage because it can influence how the public sees information, favouring some content over others. But more importantly, it profits from selling access to these viewers to advertisers and it can choose who it will allow to advertise and who it will block"--From page 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science
Consensus categoriesOpen science
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.757
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0040.001
Open science0.0060.016
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.270
Teacher spread0.253 · 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

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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