Evaluator last updated March 20, 2026.
Overview
The Conventionality evaluator assesses how directly a text communicates its meaning. It analyzes whether language is literal and explicit or relies on figurative, abstract, or implied meaning that requires interpretation.
At a glance
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| Input type | Informational text |
| Supported grades | 3–12 |
| Rubric | SAP ↗‘s Qualitative Text Complexity Rubric for Informational Text ↗ |
The evaluator was built and validated using the model and temperature below (other configurations will produce different results and may have lower accuracy):
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| Model used | gemini-3-flash-preview |
| Temperature | 0 |
Getting started
Follow the Quickstart to start using this evaluator:
| Input | Description | Required |
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| Target grade level | Enables grade context evaluation | Yes |
| Text type | Informational text Optional length 200-1,000 words | Yes |
Output
| Field | Description |
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| Complexity rating | - Slightly complex: Confirm generated text uses literal, grade-appropriate language
- Language is literal and explicit
- Meaning is directly stated
- Minimal use of abstract, symbolic, ironic, and/or figurative language
- Almost entirely explicit, literal, and straight forward
- Moderately complex: Check whether occasional figurative language fits instructional goals
- Mostly literal language with occasional figurative or implicit meaning
- Occasional use of abstract, symbolic, ironic, and/or figurative language
- Primarily explicit, literal and straightforward
- Very complex: Plan scaffolding when figurative language is central to meaning
- Frequent figurative language or implied meaning requires interpretation
- Frequent use of abstract, symbolic, ironic, and/or figurative language
- Exceedingly complex: Flag texts that require heavy interpretive support before use
- Language relies heavily on abstraction, layered meaning, or sustained figurative expression
- Pervasive use of abstract, symbolic, ironic, and/or figurative language
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| Reasoning | Explanation of the rating based on language features |
| Conventionality features | Specific language features driving complexity (for example, idioms, metaphors, irony, or implicit meaning) |
| Grade context | Comparison of conventionality demands with expectations for the provided grade |
| Instructional insights | Suggestions for scaffolding or teaching unconventional language features
Example: Use conventionality features, grade context, and reasoning together to identify which language features to pre-teach or clarify |
Accuracy and validation
This evaluator is provided as Early access. Comprehensive accuracy measures
are still evolving, and validation testing is ongoing.
The evaluator was optimized using 35 annotated passages and validated through expert review of additional samples from the CLEAR Corpus ↗:
| Metric | Description | Result |
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| Complexity score accuracy | How accurately the evaluator determines conventionality complexity compared to expert annotations. | 83% agreement with expert annotations |
| Expert agreement | The percentage of evaluated examples where at least one expert agreed with the evaluator’s rating during review testing. | 90% (9 of 10 examples approved) |
| Reasoning soundness | Expert rating of how well the evaluator’s reasoning explains the complexity decision, scored on a 1–5 scale. | Average 4.4 / 5 |
Evaluator release history
| Date | Changed |
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| March 20, 2026 | First release |