MétaCan
Menu
Back to cohort
Record W2105127337 · doi:10.1109/seams.2007.21

Towards an Autonomic Element Architecture for ASSL

2007· article· en· W2105127337 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Software Engineering Methodologies
Canadian institutionsConcordia University
Fundersnot available
KeywordsArchitectureComputer scienceAutonomic computingElement (criminal law)Enterprise architecture frameworkReference architectureSoftware architecture descriptionApplications architectureSolution architectureArchitecture frameworkSyntaxSpace-based architectureView modelSoftware engineeringComputer architectureSoftware architectureArtificial intelligenceProgramming languageSoftwareOperating systemPolitical scienceHistory

Abstract

fetched live from OpenAlex

This article is an introduction to our research towards a new generic architecture model for autonomic elements. In this article, we present briefly the autonomic system specification language (ASSL) framework, which emphasizes the new architecture model. We go over the multi-tier architecture of the ASSL framework and explain in detail the autonomic element architecture 's functional units. Moreover, we reveal the different architecture styles of autonomic systems imposed by ASSL. In this paper, we do not talk about implementation concerns or syntax and semantic aspects of ASSL, since these are going to be tackled by our ongoing research and described in other papers.

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: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.778
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 communication0.0000.000
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 head0.043
GPT teacher head0.333
Teacher spread0.291 · 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