Review Workspace

RhetoricScore Review Lab

Review already-generated annotations and mappings for future Gold Data. Start from the source text and its context, compare the original label with the RhetoricScore mapping, then decide whether the item should be accepted, rejected, remapped, or kept uncertain.

Reviewer question

Is this annotation or mapping usable for Gold Data?

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Choose Review Set

13 / 1063
cocolofa / test cocolofa / train cocolofa / validation cognitive / cognitive_benchmark_alpha cognitive / cognitive_benchmark_v0_sample semeval2020_task11 / test semeval2020_task11 / train semeval2020_task11 / validation
Step 1 · Source

semeval2020_task11 / validation

13 / 1063
Context excerpt

Source: local SemEval corpus fallback

America's Immigration Voice.

Thanks for publicizing the race of Quentin Lamar Smith.
I tried for 24 hours before I discovered the mugshot that you published.
VDARE.com was the first news organization to make his race known, even though he was well known to law enforcement.
It took about 10 hours for law enforcement to release his name.
Quentin is a convicted felon who is not allowed to have a gun, even though he carried one everywhere.
[ Police shooting suspect’s past and police history at the Westerville home, by Tara Morgan, ABC6onyourside.com,February 11th 2018]
I have been unable to determine the race of Quentin’s wife--the domestic violence victim.
The fact that there was a wedding makes me think she’s white.
Also, she kind of sounds white in the 911 calls, but it’s hard to tell.
Please keep up your great work.
Step 2 · Annotation

Compare Original Label and RhetoricScore Mapping

Review Target
Original Dataset Labels
None provided
RhetoricScore Mapped Labels
None provided
Detected / Imported Techniques
None detected
Annotation Quality
external_unlabeled
Mapping Confidence
unknown
Decision focus

Review the mapping and annotation quality. You do not need to judge whether the source text is factually true.

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Internal Reference

Review Item Details

Diagnostics
Review Item ID
semeval2020_task11_validation_12
Source Type
semeval2020_task11
Language
en
Reference Context
Default
Source Context

Article Metadata

Article ID
article730269378
Full context excerpt

Source: local SemEval corpus fallback

America's Immigration Voice.

Thanks for publicizing the race of Quentin Lamar Smith.
I tried for 24 hours before I discovered the mugshot that you published.
VDARE.com was the first news organization to make his race known, even though he was well known to law enforcement.
It took about 10 hours for law enforcement to release his name.
Quentin is a convicted felon who is not allowed to have a gun, even though he carried one everywhere.
[ Police shooting suspect’s past and police history at the Westerville home, by Tara Morgan, ABC6onyourside.com,February 11th 2018]
I have been unable to determine the race of Quentin’s wife--the domestic violence victim.
The fact that there was a wedding makes me think she’s white.
Also, she kind of sounds white in the 911 calls, but it’s hard to tell.
Please keep up your great work.
Summary
Review the precomputed dataset sample without changing scoring.
Reading Level: review only

Context Summary: Loaded from the existing review dataset.

Scores

Rhetorical Scores

High Variance Low Variance Reference Zone

Score data describing the text's rhetorical signals compared with the selected reference context.

Scores not available for this input.
Rhetorical Stability
N/A

No precomputed stability score is available for this review sample.

Detected Patterns

Detected Rhetorical Patterns

No unusual rhetorical patterns were detected in this sample.
Experimental Layer

Cognitive Quality Signals (Experimental)

Signal Status
Not_available
Language
en
Reference Context
Default
Explainability Details

Explainability Details (η Coefficients & Context Modifiers)

Detected Technique Domain Core Frequency Saturated Score Final Weight Alpha Context Eta Applied
No detailed explainability table is available for this result.
Raw metadata / debug 
{
  "article_id": "article730269378",
  "article_text_length": 829,
  "raw_split": "dev",
  "source_loader": "zenodo_fallback",
  "template_label": "?"
}
Inspect Backend Response (Diagnostic RAW JSON) 
{
  "id": "semeval2020_task11_validation_12",
  "source_dataset": "semeval2020_task11",
  "split": "validation",
  "language": "en",
  "text": "wedding",
  "context": null,
  "labels_original": [],
  "labels_rhetoric": [],
  "techniques": [],
  "span_start": 689,
  "span_end": 696,
  "is_manipulative": true,
  "annotation_quality": "external_unlabeled",
  "mapping_confidence": "unknown",
  "metadata": {
    "article_id": "article730269378",
    "article_text_length": 829,
    "raw_split": "dev",
    "source_loader": "zenodo_fallback",
    "template_label": "?"
  }
}