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Record W2125333933 · doi:10.1109/sefm.2007.5

An AOP Extended Lambda-Calculus

2007· article· en· W2125333933 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
KeywordsProgramming languageWeavingComputer scienceTyped lambda calculusSystem FType inferenceChurch encodingAdvice (programming)Aspect-oriented programmingSimply typed lambda calculusDependent typeSemantics (computer science)Lambda calculusOperational semanticsType safetyLambdaFunctional programmingConstruct (python library)Calculus (dental)InferenceArtificial intelligenceSoftwareEngineering

Abstract

fetched live from OpenAlex

This paper presents an implicitly-typed functional, aspect-oriented programming language: lambda_AOP. The main contribution of the paper is a semantics for lambda_AOP advice weaving. The weaving is type-based and implemented statically. We extend the Hindley-Milner type inference system to inject applicable advices into lambda expressions during typing. The proposed semantics for advice weaving is close to the spirit of Aspect J, the most popular AOP language, where advices are injected before, after, or around points that match their respective pointcuts. For this purpose, the sequence construct of the extended lambda-calculus is used.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.587
Threshold uncertainty score0.357

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 communication0.0000.001
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 head0.028
GPT teacher head0.334
Teacher spread0.305 · 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