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Repository Scope and Limits

The repository is broader than a map application and narrower than an integrated scientific inference platform. Its current product mode is an atlas builder backed by governed acquisition, evidence curation, review, heuristic ranking, publication, and traceability across several uneven source families.

This boundary prevents two opposite errors. Calling the repository “only a map” ignores the database, refusal records, release reviews, and reproducible publication pipeline. Calling it a finished evidence engine promotes planned harmonization and interpretation work into a capability the runtime does not yet own.

Implemented Runtime And Project Direction

Surface Status Defensible statement
source collection and evidence preparation implemented with family-specific materialization the repository retains governed captures and preparation evidence, while normalized and review artifacts remain absent for some families
atlas and country publication implemented the runtime assembles scoped bundles, reports, and maps from admitted evidence
candidate ranking implemented with a heuristic claim ceiling declared features and scenarios produce reviewable decision-support artifacts
multi-evidence harmonization runtime planned no current public contract performs general cross-domain harmonization
evidence-aware interpretation engine planned no current public contract produces general scientific interpretation or causal inference
workflow replay and diff execution planned individual builds are reproducible, but a general replay-and-diff engine is not a current surface

The machine-readable authority for this distinction is the product and surface scope returned by the Python facade and the product-scope and surface-map commands. Narrative descriptions cannot expand that executable contract.

Three Boundaries Must Agree

The repository has three related but non-equivalent boundaries:

Boundary Authority Reader test
evidence database captured, extracted, normalized, related, and reviewed repository state can the record and its preparation lineage be inspected?
runtime commands and Python interfaces that own a transformation or decision can the transition be replayed with declared inputs and outputs?
publication manifests and products that declare visible membership and claim role can each member resolve to governed evidence and a scope decision?
flowchart TD
    Claim["proposed claim"] --> Published{"member of a governed product?"}
    Published -->|no| Stop["not a publication claim"]
    Published -->|yes| Runtime{"owned runtime decision?"}
    Runtime -->|no| Stop
    Runtime -->|yes| Evidence{"preparation lineage supports the role?"}
    Evidence -->|no| Qualify["qualify, exclude, or recover"]
    Evidence -->|yes| Support["defensible within declared scope"]

A publication can build successfully while a stronger evidence claim remains unsupported. Conversely, a curated database row may be valuable evidence even when it is not eligible for a point layer. Trust requires the three boundaries to agree at the level of the question being asked.

Evidence Domains

Domain Repository role Important boundary
LandClim and Neotoma pollen and palaeoenvironmental context source coverage and temporal resolution remain family-specific
SEAD and RAÄ environmental-archaeology and heritage context contextual density is not sample evidence
boundaries and SMHI SVAR geographic scope and lake identity framing does not establish scientific association
AADR versioned human ancient-DNA metadata genotype processing is not implemented
animal ancient DNA sample, locality, chronology, coordinate, and citation evidence exact publication requires sample-owned support
fieldwork direct record of a specific visit a visit does not establish general site suitability

Claim Boundary

flowchart LR
    Captured["captured source"] --> Normalized["normalized evidence"]
    Normalized --> Reviewed["reviewed fitness"]
    Reviewed --> Published["scoped publication"]
    Published --> Supported["supported descriptive claim"]
    Published -. does not imply .-> Causal["causal inference"]
    Published -. does not imply .-> Complete["complete domain coverage"]
    Published -. does not imply .-> Recommendation["sampling recommendation"]

The runtime can establish which records were acquired, how they were normalized, whether they met a publication rule, and where they appear. It cannot make unlike evidence commensurate merely by placing it on the same map.

Publication Claims

The repository can support claims such as:

  • a named source family was captured at a declared version or retrieval state;
  • a published feature belongs to a governed product scope;
  • an admitted animal point has the identity, locality, coordinate, and qualification required by its declared point class;
  • a lake appears in a stated ranking scenario using declared inputs;
  • a record was excluded because a required evidence dimension was unresolved.

It does not claim that every domain is equally complete, that proximity proves temporal overlap, that every country has equivalent source coverage, or that a ranked lake is ready for sampling.

Counts Require A Named Population

The animal surfaces expose three counts that must not be collapsed:

Count Governed population Appropriate use
894 sample-foundation rows across 10 tracked species and 40 projects grounding and blocker accounting
868 recovered project sample-master identities project recovery and stable sample identity
234 published animal point features map membership under the point contract

The 234 features comprise 233 final sample-backed points and one provisional project-context point. The other two populations are not implied denominators for that layer. A rate or completeness claim is invalid unless its numerator, denominator, observation unit, and governing contract are all named.

One Point Layer, Two Claim Classes

The current animal point surface illustrates the repository boundary:

Class Members Supported statement Unsupported promotion
final sample-backed 233 these product members resolve to directly extracted final sample identities and supplementary coordinates the tracked project or species collection is complete
provisional project context 1 the Wadi Halfa feature retains paper-backed place context and an approximate geocode a source-native sample row was recovered or the excavation coordinate is exact

Both can be visible because visibility follows a declared point class. A sample-count analysis cannot treat them as the same observation unit. The stronger analysis uses only final samples or records a separate context class and its effect on the result.

flowchart LR
    Layer["animal point surface"] --> Samples["233 final sample-backed features"]
    Layer --> Context["1 provisional project-context feature"]
    Samples --> SampleClaim["sample-level qualified presence"]
    Context --> ContextClaim["project-context spatial presence"]

Match The Claim To The Surface

Intended claim Sufficient starting surface Required follow-up
a record appears in a geographic product product manifest and evidence row governing evidence identity and scope reason
a point has defensible coordinates point traceability and coordinate posture locality evidence and coordinate provenance
two records are temporally comparable temporal-semantics payloads original chronology, bounds, evidence class, and caveats
a lake ranked under one scenario ranking table and manifest feature inputs, weights, sensitivity, and missing evidence
a source family was captured reproducibly collection summary and family contract retrieval metadata, hashes, replacement behavior, and review state
evidence is absent from a publication exclusion, warning, or recovery surface distinguish scope, refusal, unresolved evidence, and non-capture

A screenshot, popup, or summary count can orient a reader but is insufficient for a sample-level, temporal, or decision-support claim without its governing follow-up.

Limits Are Typed Outcomes

flowchart TD
    Missing["claim not supported as requested"] --> Cause{"material reason"}
    Cause --> Scope["outside product scope"]
    Cause --> Capture["source not captured or recovered"]
    Cause --> Evidence["identity, place, time, or coordinate unresolved"]
    Cause --> Contract["known evidence fails product rule"]
    Cause --> Capability["analysis is outside implemented runtime"]

These outcomes are not interchangeable. A scope exclusion can be answered by a different product; a recovery gap requires source work; an evidence gap requires stronger support; a contract refusal protects against overclaim; and an unimplemented analysis requires a new governed capability.

Accountability Test

A capability belongs in this repository when its inputs, transformations, review decision, and published result can be inspected together. If a result depends on private scripts, untracked corrections, inferred precision, or an unrecorded eligibility decision, it is outside the trustworthy product boundary until that lineage is made explicit.

Continue with runtime scope and ownership for implementation ownership or the data system for source and evidence contracts.