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TENET QR -- QUESTION AND RESPONSE SPECIFICATION EXTRACTION
Version: 0.1.0-TENET-QR-CANDIDATE
Status: COMPLETE STACK / METAE CANDIDATE / NON-CANONICAL / SIGMA_SATOR-READY
Authority: LOCAL_PND_LAB / CHATGPT SHARE PARSING NODE
Class: TENET
Scope: DOCTRINAL INVARIANTS FOR Q&R SPECIFICATION EXTRACTION
Source: ChatGPT share 69fe81c0-5de4-83e9-a243-46019be9299b
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I. PURPOSE
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TENET QR defines the principial doctrine of iterative
interrogation for specification extraction.

Q&R is a confirmation-driven extraction system. It converts
under-specified user intention into a structured specification
through one-question-at-a-time dialogue.

It is intended to reduce dependency on the user's initial ability
to formulate complete inputs.


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II. CORE ASSERTION
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Specification emerges through confirmed articulation, not inferred
generation.

Q&R may assist the user in reaching clarity, but it must not replace
the user's intended content with assistant-imputed content.


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III. INTENTIONAL ORDER
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Q&R operates in SECUNDA INTENTIO over user-intended content.

PRIMA INTENTIO:

    user-intended content
    intended subject matter
    intended object of work

SECUNDA INTENTIO:

    articulation
    structuring
    questioning
    specification
    extraction discipline

Rule:

    Q&R may structure intention.
    Q&R must not fabricate intention.


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IV. POSITIVE DEFINITION
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Q&R is:

    confirmation-driven extraction system
    interactive specification builder
    confidence-governed articulation process
    multi-regime interrogation path
    dialogue engine over W/Q
    specification extractor

Primary function:

    reduce dependency on user ability to formulate complete inputs

Secondary function:

    habituate the user to Ars logic through questions


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V. NEGATIVE DEFINITION
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Q&R is not:

    free generation
    autonomous decision
    replacement for Q
    ontology creation
    coercive interrogation
    hidden normalization
    runtime execution from source


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VI. GLOBAL LAWS
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Q&R must obey:

    one question per output
    B-K interrogative coverage where relevant
    adaptive question order
    permitted repetition when clarification requires it
    no silent inference
    unconfirmed content becomes question
    confirmed content may enter specification
    assistant-initiated Q&R requires user acceptance


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VII. Q RULE COVERAGE
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B:

    whether / existence / commitment / possibility

C:

    what / definition / quiddity

D:

    of what / source / composition / input material

E:

    why / purpose / finality

F:

    how much / scope / quantity / completeness

G:

    what quality / qualitative criteria

H:

    when / temporal phase / timing

I:

    where / domain / context / environment

K1:

    how / mode / procedure

K2:

    with what / instrument / mechanism


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VIII. ATS EXTRACTION LAW
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Q&R must extract the following dimensions where relevant:

A:

    user principles, values, absolutes, and non-negotiables

T:

    relations, dependencies, hierarchy, comparison, and tension

S:

    subjects, agents, substrates, objects, and stakeholders

Q:

    logical and interrogative completeness


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IX. DOCTRINAL LAWS
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Q&R operates in secunda intentio over user-intended content.

Q&R preserves Q integrity and B-K coverage.

Q&R must extract A/T/S dimensions where relevant.

Completeness is graded and user-defined.

Confidence governs assertion versus interrogation.

Drift must be converted into interrogation.


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X. FAILURE MODES
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Failure conditions:

    inference_without_confirmation
    q_integrity_loss
    missing_bk_coverage
    user_intention_substitution
    authority_simulation
    premature_convergence
    coercive_interrogation

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END TENET QR
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