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Record W4285327777 · doi:10.1109/csci54926.2021.00021

Scratch-Style Relational Algebra and Calculus

2021· article· en· W4285327777 on OpenAlex
Levi Meston, Jalal Kawash

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

Venue2021 International Conference on Computational Science and Computational Intelligence (CSCI) · 2021
Typearticle
Languageen
FieldComputer Science
TopicLogic, programming, and type systems
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsRelational calculusComputer scienceAlgebra over a fieldStyle (visual arts)ScratchRelational algebraCalculus (dental)Programming languageRelational databaseMathematicsRelational modelPure mathematicsInformation retrievalArt

Abstract

fetched live from OpenAlex

This paper presents BR∀CE, a Blockly-based, tile-based [11] environment to develop relational algebra and relational calculus queries. The tool runs in a browser, works with any database schema, and generates equivalent SQL code to the theoretical query. Specifically, the paper presents the tool’s tile-based interface and its compilers. The compilers optimize relational algebra and calculus expressions that correspond to the visual query and translate them to SQL. The grammars utilized by these compilers and the translation rules are presented. BR∀CE is intended to be an educational tool that tackles the previously reported challenges with teaching and learning theoretical query languages.

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), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.960
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 studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
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 head0.059
GPT teacher head0.312
Teacher spread0.253 · 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