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Record W1844691172 · doi:10.14288/1.0051998

The schematics of computation

2011· book· en· W1844691172 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

VenuecIRcle (University of British Columbia) · 2011
Typebook
Languageen
FieldComputer Science
TopicComputability, Logic, AI Algorithms
Canadian institutionsLangara College
Fundersnot available
KeywordsGlossaryRecursion (computer science)SchematicComputer scienceScheme (mathematics)ComputationReading (process)Theoretical computer scienceBibliographyProgramming languageLibrary scienceMathematicsEngineeringLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

An implementation of the programming language Logo is described. Logo, a programming language somewhat like Lisp, is intended to teach the naive user the elements of programming and problem-solving, especially in symbolic programming applications such as graphics, natural language processing, musical composition, and the solution of elementary artificial intelligence problems. The system described here, BCLogo, is an attempt to build a portable implementation which would net be particularly sensitive to the computer on which it was run. The thesis describes both the manner in which the system appears to the user and the way in which the system was built.

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: Other design · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.979
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.015
GPT teacher head0.177
Teacher spread0.162 · 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