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Record W2007644552 · doi:10.3166/isi.7.3.11-38

Langage pour bases multidimensionnelles : OLAP-SQL

2002· article· fr· W2007644552 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIngénierie des systèmes d information · 2002
Typearticle
Languagefr
FieldComputer Science
TopicAdvanced Database Systems and Queries
Canadian institutionsnot available
Fundersnot available
KeywordsOnline analytical processingComputer scienceSQLDatabaseData warehouse

Abstract

fetched live from OpenAlex

RESUME. Cet article presente un langage dedie aux bases de donnees decisionnelles implantees en relationnel OLAP. L'approche proposee permet de definir, de controler et de manipuler les donnees d'une base multidimensionnelle organisee en constellation. Ce langage repose sur l'extension multidimensionnelle du standard SQL. Le langage de definition permet de specifier simplement les composants (faits, dimensions, hierarchies) du schema multidimensionnel avec une abstraction complete des tables relationnelles. Le langage de controle permet de definir de maniere uniforme des droits sur tout ou partie du schema. Enfin, le langage de manipulation offre un mecanisme unique de consultation reposant sur l'extension de la commande SELECT. Notre langage OLAP-SQL fait l'objet d'un developpement base sur le SGBD Oracle 9i.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.725
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.013
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.004

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 head0.038
GPT teacher head0.237
Teacher spread0.200 · 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