General
PromptBeginner5 minmarkdown
why_mechanical: The question elicits behavioral details but does not yet redirect attention toward meaning
consequences
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General
PromptBeginner5 minmarkdown
mechanical_pattern: Mechanical questions maintain the same conversational frame by clarifying
extending
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General
PromptBeginner5 minmarkdown
question: Sure
what's it about?
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General
PromptBeginner5 minmarkdown
[assistant]: Sure
what's it about?
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General
PromptBeginner5 minmarkdown
{ axis: intent (instrumental vs exploratory)
weight: secondary }
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General
PromptBeginner5 minmarkdown
{ axis: epistemic stance (facts vs examining assumptions)
weight: secondary }
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General
PromptBeginner5 minmarkdown
{ axis: emotional/self-reflective depth
weight: primary }
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General
PromptBeginner5 minmarkdown
transformation_pattern: The strongest context shifts occur when questions redirect attention from surface behaviors or situations toward internal meaning
consequences
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Data
PromptBeginner5 minmarkdown
This is excellent! The GPT is producing high-quality outputs. The transformation pattern is very insightful: questions redirect attention from surface behaviors toward internal meaning
causing the speaker to reinterpret the problem as one of self-understanding rather than task execution.
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General
PromptBeginner5 minmarkdown
[assistant]: Sure
what's it about?
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General
PromptBeginner5 minmarkdown
expressions of realization or insight (Actually…
Maybe the problem isn't…)
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General
PromptBeginner5 minmarkdown
{ axis: epistemic stance (seeking facts vs examining assumptions)
weight: secondary }
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General
PromptBeginner5 minmarkdown
{ axis: intent of the conversation (instrumental vs exploratory)
weight: secondary }
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General
PromptBeginner5 minmarkdown
Secondary axes: intent (instrumental vs exploratory)
epistemic stance
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General
PromptBeginner5 minmarkdown
{ axis: emotional/self-reflective depth
weight: primary }
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Data
PromptBeginner5 minmarkdown
context_definition: In this dataset
context refers to the underlying frame that defines what the conversation is really about: whether it is operating at the level of surface tasks and information exchange
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General
PromptBeginner5 minmarkdown
expressions of realization or insight (\Actually…\
\Maybe the problem isn’t…\)
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General
PromptBeginner5 minmarkdown
{ axis: epistemic stance (seeking facts vs examining assumptions)
weight: secondary }
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General
PromptBeginner5 minmarkdown
{ axis: topic continuity
weight: tertiary }
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General
PromptBeginner5 minmarkdown
questions that reframe the problem (\What does X feel like?\
\When did you last…?\)
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General
PromptBeginner5 minmarkdown
{ axis: intent of the conversation (instrumental vs exploratory)
weight: secondary }
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General
PromptBeginner5 minmarkdown
{ axis: emotional/self-reflective depth
weight: primary }
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General
PromptBeginner5 minmarkdown
context_axes: [{axis: string
weight: primary|secondary|tertiary}]
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Data
PromptBeginner5 minmarkdown
2. In this dataset
what does stayed in the same context mean?
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