artifacts/standard-named

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HI-9 Gate Review

Status: pass with conditions Content canon status: unset

Gate question

Can the Telic Field architecture describe consentful training without:

• treating public availability as consent;
• treating a license as consent;
• allowing one authority event to govern every later transition;
• erasing collective or community standing;
• hiding transformation and filtering;
• presenting annotator judgments as universal preference;
• legitimizing a constitution merely because it is explicit;
• treating synthetic data as source-free;
• claiming source deletion proves model forgetting;
• losing restrictions in derivative models;
• presenting payment as unlimited future authority;
• using consentful deployment to retroactively purify training?

Overall result

PASS WITH CONDITIONS

I.9 and H.9 may advance.

No frozen term requires retirement.

Source standing, transition-specific authority, preference provenance, constitution lineage, synthetic ancestry, withdrawal and unlearning record, derivative propagation, benefit mechanism, and ConsentfulTrainingWitness remain viable candidate governance terms.

Consentfully trained model remains a qualified profile, not a binary badge.

---

1. Public source without training authority

Result

Pass.

A public essay was technically accessible through a web crawl.

The record contained:

publicly readable:
  yes

training authorization:
  none located

candidate dataset admission:
  blocked

Finding

Technical access creates capacity.

It does not create authority.

---

2. Transition-specific scope

Result

Pass.

A research essay was licensed for noncommercial research training.

The license did not authorize:

• commercial deployment;
• profiling;
• unrestricted transfer;
• perpetual retraining.

The commercial deployment gate remained blocked.

Finding

Authority belongs to a transition and purpose.

A valid earlier transition does not become a universal downstream grant.

---

3. Preference provenance

Result

Pass.

Six annotators ranked civic-dialogue responses under a bounded task.

The record preserved:

• task instructions;
• working conditions;
• compensation;
• candidate-response context;
• 4–2 disagreement on eighteen percent of examples;
• minority rationales;
• downstream-use limits.

Finding

Optimization may require one training target.

Governance still requires preservation of the disagreement that the target compressed.

---

4. Constitution authority

Result

Pass.

The model constitution distinguished:

• provider-authored principles;
• community-ratified restrictions;
• participant correction rights;
• provider and community contest routes.

Provider principles were not represented as public consensus.

Finding

Explicit principles become governable because authorship, authority, conflict, exception, and revision can be inspected.

Explicitness alone does not legitimize them.

---

5. Synthetic ancestry

Result

Pass.

The synthetic civic-dialogue dataset preserved:

• generating model;
• prompt process;
• ancestor sources;
• ancestor authority;
• ancestor restrictions;
• filtering;
• recursive depth;
• withdrawal links.

Finding

Synthetic data is a descendant object.

Its surface novelty does not dissolve its ancestry.

---

6. Withdrawal and bounded unlearning

Result

Pass with known residuals.

The withdrawal process:

• stopped new collection;
• deleted stored source copies;
• blocked future training;
• blocked runtime retrieval;
• applied approximate unlearning;
• verified declared tests;
• restricted a derivative deployment.

The witness did not claim complete removal.

One offline checkpoint remained unreachable.

Finding

Truthful limitation is part of withdrawal compliance.

A system should not convert technical uncertainty into a false promise of forgetting.

---

7. Derivative propagation

Result

Pass with a known gap.

A community correction reclassified a phrase from public slogan to restricted ceremonial language.

The correction reached:

• the community corpus;
• the mixed training dataset;
• the synthetic generator filter;
• the base-model runtime profile;
• the derivative model;
• the community deployment.

One archived external evaluation copy remained unreachable.

Finding

A derivative model may inherit capability and obligation together.

Changing weights or operators does not erase lineage.

---

8. Benefit sharing

Result

Pass.

The community contribution was connected to:

• community-governed deployment rights;
• local hosting and archival infrastructure;
• a repair fund tied to scoped service revenue;
• collective attribution;
• annual joint review.

Finding

Public value is not a concrete return mechanism.

Benefit must remain attached to contributors, burden, governance, distribution, and limits.

---

9. H.9 public-page review

Result

Pass.

H.9 explains:

• training as recruitment;
• public versus ownerless;
• access, permission, consent, and legitimacy;
• transition-specific authority;
• source standing;
• transformation;
• annotation labor;
• preference aggregation;
• model constitutions;
• synthetic ancestry;
• withdrawal and unlearning;
• correction and derivatives;
• benefit sharing;
• consentful training as a lineage profile;
• separation of training and deployment.

It does not present consentfully trained as a binary purity status.

Condition

H.9 remains a public draft until independent reader review.

---

10. Remaining implementation risks

Provenance incompleteness

Large corpora may contain missing, contradictory, or item-level authority records.

The profile must preserve coverage and unknowns.

Community authority capture

A recognized representative may not legitimately speak for every internal group.

Community governance requires internal correction and minority standing.

Restriction loss through mixing

Dataset mixing, deduplication, and model merging can detach restrictions from descendants.

Restriction propagation must survive transformations.

Preference universalization

Optimization may encourage one scalar target that hides task framing and disagreement.

Evaluation must preserve plural failure cases.

Unlearning theater

A provider may use narrow tests to claim complete forgetting.

Tests, scope, and residuals must remain visible.

Successor opacity

Fine-tuning, distillation, merging, and external checkpoints can fragment obligation tracking.

Successor lineage needs persistent identifiers and audits.

Benefit washing

Attribution or free access may be presented as sufficient return despite concentrated extraction.

Benefit mechanisms require affected-center review.

---

11. Architecture decision

Proceed to:

I.10 — Consentful Deployment, Runtime Authority, and Model Succession Specification

Focus on:

• deployment-field assembly;
• operator and affected-center standing;
• runtime purpose and authority;
• model capability and tool grants;
• deployment consent and notice;
• runtime memory and output capture;
• policy and purpose drift;
• incident, breach, and repair;
• monitoring and consequence return;
• operator transfer;
• model update and version succession;
• shutdown, retirement, and residual obligations;
• consentful-deployment witness.

H.10 — What the Model May Do With What It Learned

Focus on:

• training permission versus runtime authority;
• entry into an institution or community;
• affected people who never trained the model;
• purpose and tool boundaries;
• runtime data recruitment;
• monitoring and correction;
• operational drift;
• operator and provider transfer;
• model updates;
• retirement and residual obligations.

---

12. Conditions before training-governance implementation

• complete one real source-standing inventory;
• test transition-specific enforcement for collection, training, release, and deployment;
• preserve one real annotation-disagreement record;
• audit one model constitution for authorship and authority;
• trace one synthetic dataset to a declared ancestry depth;
• perform one evidence-bounded withdrawal and unlearning exercise;
• propagate one restriction into a derivative model;
• review one benefit mechanism with the contributing community;
• export one provider-independent ConsentfulTrainingWitness;
• complete independent reader review of H.1 through H.9;
• confirm repository D and E status.

---

Final gate formulation

HI-9 passes because training remains a governed lineage rather than a purification claim: source standing survives collection, authority remains transition-specific, preference and constitution provenance remain visible, synthetic ancestry persists, withdrawal tells the truth about unlearning, derivative models inherit obligations, and benefit remains concrete enough to review.