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Generative hierarchical contracts for conformance testing of sequential containers

2007· article· en· W6191748 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

VenueAustralian paediatric journal · 2007
Typearticle
Languageen
FieldComputer Science
TopicSoftware Testing and Debugging Techniques
Canadian institutionsCarleton University
Fundersnot available
KeywordsComputer scienceDomain (mathematical analysis)Component (thermodynamics)Generative grammarDomain analysisConformance testingDomain modelFuzz testingUnit testingGenerative modelSoftware testingSoftware engineeringModel-based testingSoftwareProgramming languageArtificial intelligenceSoftware developmentDomain knowledgeTest caseMachine learningMathematicsSoftware construction

Abstract

fetched live from OpenAlex

Twenty-four clumsy children of whom 13 had matched controls were reappraised eight years after their original assessment. The findings indicate that developmental clumsiness generally has a favourable prognosis. Mild and moderate degrees of clumsiness improved to normality, but severe degrees of clumsiness had a less favourable outcome only in regard to motor proficiencies. Clumsiness seemed not to have bearing, either on social class or on the subsequent pursuit of sporting activities. Although there was a lower level of academic achievement in the clumsy children, who also chose careers which were less manually exacting, these observations did not reach statistical significance. Maturational lag might be the aetiology in mild developmental clumsiness, whereas structural lesions involving the cerebral cortex may be present in more severely afflicted children. These findings should be considered when counseling clumsy children, both academically and vocationally.

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)0.002
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.582
Threshold uncertainty score0.576

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.053
GPT teacher head0.316
Teacher spread0.263 · 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