MétaCan
Menu
Back to cohort

A Container-Based Architecture to Build and Deploy Applications within a Social Network

2022· article· en· W4280553380 on OpenAlex
Michael Lescisin, Qusay H. Mahmoud

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

Venue2022 IEEE International Systems Conference (SysCon) · 2022
Typearticle
Languageen
FieldComputer Science
TopicPeer-to-Peer Network Technologies
Canadian institutionsOntario Tech University
Fundersnot available
KeywordsComputer scienceSoftware deploymentContainer (type theory)ArchitectureWeb serviceReusabilityService-oriented architectureContext (archaeology)Isolation (microbiology)World Wide WebDistributed computingSoftware engineeringOperating systemEngineering

Abstract

fetched live from OpenAlex

The paradigm of container-based architecture has revolutionized web application development by, increasing service reusability, decreasing service deployment times, facilitating the construction of distributed systems, and providing strong guarantees of resource isolation without the overhead of full virtual machines. These advantages of container-based architecture have caused it to be embraced by many web application developers. In this paper, we focus on end-users as the target audience of container-based architecture and present SocialSDN as a tool to facilitate the design and deployment of web applications to be used within the context of a social network. We present several use cases and compare to existing solutions.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.947
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0030.001
Research integrity0.0000.001
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 head0.265
Teacher spread0.244 · 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