EB 3 attribute definitions: Formal language and application
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.
Bibliographic record
Abstract
eb 3 is a trace-based formal language created for the specification of information systems (IS). In this technical report, we present the eb 3 formal language for attribute definitions. Attributes, linked to entities and associations of an IS, are computed in eb 3 by recursive functions on the valid traces of the system. The syntax and the main properties of the language are introduced. Then, we aim at synthesizing imperative programs that correspond to eb 3 attribute definitions. Thus, each eb 3 action is translated into a transaction. eb 3 attribute definitions are analysed to determine the tables and the key values affected by each action. Some key values are determined from SELECT statements that correspond to first-order predicates in eb 3 attribute definitions. To avoid inconsistencies because of the sequencing of SQL statements in the transactions, temporary variables and/or tables are introduced for these key values. We show the main patterns for the SELECT statements used in the temporary variables and/or tables. The SQL statements are then ordered by table. Generation of
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it