You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Voice profile dimensions, scoring tiers, and semantic differential pairs
Dimensions Reference
The voice profile measures writing voice across 8 gold standard dimensions, 10 gap dimensions, and 20 semantic differential pairs. Dimension scores range from 0-100. Semantic differential ratings range from 1.0-7.0.
The 8 core voice dimensions are measured with triangulated self-report and behavioral observation. Each produces a composite score blending self-report and observed values, weighted by confidence.
Dimension
Description
Contributing Modules
SD Pairs
Total Items
Min Items
Tier
formality
Degree of formal vs. informal register
M03 (6 items)
formal_casual, accessible_specialized
8
5
1
emotional_tone
Emotional valence and intensity, from reserved to expressive
M04 (6 items)
emotional_analytical, warm_detached
8
5
1
personality
Degree to which the writer's personality emerges through prose
M02 (5 items), M11 (3 items)
personal_impersonal, earnest_ironic
10
6
2
complexity
Syntactic and conceptual complexity
M06 (5 items)
elaborate_minimalist, concise_expansive
7
4
2
audience_awareness
Degree of adaptation to and addressing the audience
M07 (5 items)
(none)
5
3
1
authority
Level of authoritative, expert, or confident voice
Secondary voice dimensions that extend the profile beyond the 8 gold-standard measures. Each is scored 0-100 with a source field indicating measurement origin (self_report, observed, or both).
Dimension
Description
Contributing Items
Min Items
precision
Attention to grammatical precision, word choice exactness, and mechanical correctness
M09-Q01, M09-Q02, M09-Q03, M09-Q04, M09-Q05
3
revision_orientation
Approach to revision and editing in the writing process
M10-Q01, M10-Q02, M10-Q03, M10-Q04
2
contextual_flexibility
Ability and willingness to shift voice across different writing contexts
M11-Q04, M11-Q05, M11-Q06
2
risk_tolerance
Willingness to take creative risks and experiment with unconventional voice choices
M02-Q10, M05-Q04
1
self_awareness
Metacognitive awareness of one's own writing voice and its effects
M12-Q01, M12-Q02, M12-Q03
2
consistency
Consistency of voice across writing sessions and pieces
M12-Q04, M12-Q05
1
influence_absorption
Tendency to absorb and integrate influences from other writers
M02-Q03, M10-Q03
1
vocabulary_range
Breadth and register range of vocabulary usage
M06-Q02, M09-Q03
1
sentence_rhythm
Characteristic sentence length patterns and rhythmic variation
M06-Q04, M09-Q06
1
genre_awareness
Awareness of and adherence to genre-specific voice conventions
M07-Q04, M08-Q03
1
Semantic Differential Pairs
20 bipolar adjective pairs rated on a 7-point scale (1.0 = first pole, 4.0 = neutral, 7.0 = second pole). All pairs are presented to all writer types.
ID
Pole 1 (1)
Pole 2 (7)
Mapped Dimensions
Weights
Tier
SD-01
Formal
Casual
formality
formality: 1.0
1
SD-02
Serious
Playful
humor
humor: 1.0
1
SD-03
Elaborate
Minimalist
complexity
complexity: 1.0
2
SD-04
Assertive
Tentative
authority
authority: 1.0
2
SD-05
Warm
Detached
emotional_tone
emotional_tone: 1.0
1
SD-06
Concrete
Abstract
complexity, narrativity
complexity: 0.5, narrativity: 0.5
2
SD-07
Structured
Flowing
complexity
complexity: 1.0
2
SD-08
Direct
Diplomatic
authority, audience_awareness
authority: 0.5, audience_awareness: 0.5
2
SD-09
Accessible
Specialized
formality, audience_awareness
formality: 0.5, audience_awareness: 0.5
1
SD-10
Emotional
Analytical
emotional_tone, narrativity
emotional_tone: 0.5, narrativity: 0.5
1
SD-11
Authoritative
Collaborative
authority
authority: 1.0
2
SD-12
Conventional
Experimental
personality
personality: 1.0
2
SD-13
Precise
Evocative
personality, complexity
personality: 0.5, complexity: 0.5
2
SD-14
Concise
Expansive
complexity
complexity: 1.0
1
SD-15
Personal
Impersonal
personality, formality
personality: 0.5, formality: 0.5
1
SD-16
Earnest
Ironic
humor, personality
humor: 0.5, personality: 0.5
2
SD-17
Careful
Bold
authority, personality
authority: 0.5, personality: 0.5
2
SD-18
Narrative
Expository
narrativity
narrativity: 1.0
2
SD-19
Inclusive
Exclusive
audience_awareness
audience_awareness: 1.0
1
SD-20
Spontaneous
Deliberate
personality
personality: 1.0
2
SD Normalization
Semantic differential scores are normalized from the 1-7 scale to 0-100 before integration:
normalized = ((raw - 1) / 6) * 100
Self-Reportability Tiers
Self-reportability tiers indicate how accurately participants can self-assess a dimension. The tier determines how self-report data is weighted relative to observed (behavioral/computational) data.
Tier
Label
Reliability
Description
1
High
High
Respondents can accurately self-assess. Self-report items are weighted at full value.
2
Moderate
Moderate
Respondents have partial insight. Projective and behavioral items are weighted more heavily when available.
3
Low
Low
Limited self-awareness on this dimension. Behavioral observation is the primary data source.
4
Very Low
Very low
Self-report is unreliable. Measurement relies entirely on observational and computational methods.
Tiers 3 and 4 are not assigned to any gold standard dimension in the current question bank but are used for individual question items where indirect measurement is required.
Scoring Integration Formula
The final dimension score combines module item scores and semantic differential scores using a weighted blend:
Mean across all answered module items for the dimension. Missing items are excluded (not zero-filled), provided min_items_for_score is met.
sd_normalized_mean
0.30
Mean of normalized semantic differential scores (1-7 mapped to 0-100) for pairs assigned to the dimension.
All items within a dimension carry equal weight (1.0) unless otherwise specified in scoring-weights.json. This reflects the psychometric design where each item was calibrated to contribute equally to its target dimension.
Tier 2 Adjustment
For Tier 2 (moderate self-reportability) dimensions, projective item scores are preferred when self-report and projective scores diverge significantly. The self_perception_divergence deep-dive trigger (defined in deep-dive-triggers.json) detects this condition and injects additional measurement items.
Computational Validators
The NLP pipeline (voice-nlp) produces observed scores that serve as computational validators for self-report data. The mapping from writing analysis features to gold standard dimensions:
Requires manual/LLM evaluation; no direct NLP proxy.
Calibration
When both self-report and observed scores are available, the scoring engine (voice-scoring score) produces a calibration report comparing the two. Dimensions where self-report and observed scores diverge by more than a threshold are flagged as blind spots or aspirational gaps in the voice profile's calibration section.