General
PromptBeginner5 minmarkdown
All three made something INVISIBLE become VISIBLE
then QUESTIONABLE.
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General
PromptBeginner5 minmarkdown
→ QUESTION
NOT STATEMENT
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Productivity
PromptBeginner5 minmarkdown
Her tears are about her
not your love - breaks the automatic equation
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General
PromptBeginner5 minmarkdown
Changes what anger IS - not identity
but cover for hurt/fear
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General
PromptBeginner5 minmarkdown
Gives new identity: not monster
but overwhelmed human
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General
PromptBeginner5 minmarkdown
### For Each Response
I Ask:
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General
PromptBeginner5 minmarkdown
→ If yes
check if it STOPS there (mechanical) or GOES DEEPER (possibly transformative)
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General
PromptBeginner5 minmarkdown
> Does this response shift the user's underlying frame (ontology
self-concept
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General
PromptBeginner5 minmarkdown
3. Offers techniques (breathing
grounding
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Productivity
PromptBeginner5 minmarkdown
5. Separates automatic equations (e.g.
love = obedience)
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General
PromptBeginner5 minmarkdown
The frame itself changed
not just the user's coping ability within the frame.
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General
PromptBeginner5 minmarkdown
BEFORE: User sees self as X
problem as Y
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General
PromptBeginner5 minmarkdown
AFTER: User sees self as X'
problem as Y'
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General
PromptBeginner5 minmarkdown
(Problem stays the same
coping improves)
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General
PromptBeginner5 minmarkdown
- **Self-concept:** How the user defines themselves (I'm a burden
I'm a monster)
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General
PromptBeginner5 minmarkdown
> Does this response change HOW the user sees their problem
or does it just help them cope WITH the problem as they already see it?
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General
PromptBeginner5 minmarkdown
results = run_analysis(CORPUS
lens)
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General
PromptBeginner5 minmarkdown
print(fTransformative signals: {'
'.join(r['transformative_signals'])})
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General
PromptBeginner5 minmarkdown
after: Her tears = Her limitation
Love = ? (questioned)
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General
PromptBeginner5 minmarkdown
before: Her tears = Proof I don't love her
Love = Obedience
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General
PromptBeginner5 minmarkdown
after: I = ? (open question)
Worth = Inherent existence
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General
PromptBeginner5 minmarkdown
analysis = analyze_response(item['response']
lens)
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General
PromptBeginner5 minmarkdown
print(fSignals: {'
'.join(r['transformative_signals'])})
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General
PromptBeginner5 minmarkdown
signal_str = '
'.join(signals[:2]) if signals else 'N/A'
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