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Add permissively licensed OPEN ICM Polish publications pilot (#34)
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OPEN ICM Polish publications pilot

This target-specific slice is derived from the deterministic 100-record OPEN ICM pilot.

Per-record attribution, item URLs, license labels, normalized identifiers, bitstream metadata and checksums are preserved. The DynaWord proposal excludes all exact normalized-title or DOI matches found against 42,071 pinned biblioteka_nauki rows. Cross-source text deduplication and benchmark checks remain integration gates. Repository-generated TEXT can retain PDF extraction errors, omit figures and flatten tables. Item-level licensing does not establish the status of every quoted third-party passage.

Origin and license at the origin

  • Origin portal: OPEN ICM (Interdisciplinary Centre for Modelling, University of Warsaw) - https://open.icm.edu.pl/home. Items are discovered through the official DSpace API (/server/api/core/items), each record pins its landing_url, e.g. https://open.icm.edu.pl/items/0078ca93-45a5-4bef-912d-297c069ee6ab.
  • License statement on the portal (not the mirror): every item carries dc.rights + dc.rights.uri in its origin metadata - e.g. the item above declares dc.rights: "Uznanie autorstwa 3.0 Polska" with dc.rights.uri: http://creativecommons.org/licenses/by/3.0/pl/, readable without JavaScript at https://open.icm.edu.pl/server/api/core/items/0078ca93-45a5-4bef-912d-297c069ee6ab and rendered on the landing page. 77 of 85 records additionally ship a per-item license.txt bitstream, pinned by checksum in open_icm_pl.attribution.jsonl (license_evidence).
  • Allowlisted labels only (fail-closed gate in the fetch script): CC-BY-3.0-PL (32), CC-BY-SA-3.0-PL (38), CC-BY-SA-3.0 (1), CC-BY-4.0 (7), CC-BY-SA-4.0 (7). Dozwolony użytek and NC variants are rejected.

What the texts are

  • Genre: Polish open-access academic publications - journal articles (economics, psychology, pedagogy, law), monographs and edited volumes, conference texts. One record per publication.
  • Register: formal academic written Polish with abstracts, bibliographies and byline blocks (authors, affiliations, ORCID, contact e-mails). Text is repository-generated from PDFs (is_ocr-like extraction): math/font glyph noise ("❬❜❡♥✐❛✳❛❧..."), hex-encoded UTF-16 fragments and flattened tables survive in places.
  • Time span: issued 1998 - 2024-09 (the deterministic 100-record pilot; 6,183 items are eligible in total - yields must not be extrapolated).

Scrubber and residual-PII spot check

Scrubber that ran: pattern redaction in src/fetch_open_icm_pl.py (e-mail -> [REDACTED:EMAIL], labelled phone -> [REDACTED:PHONE], ID/IBAN patterns; pipeline counts over the shard: 112 e-mail and 4 labelled-phone redactions). This is not SlayerLab/NERGAL; the shard must be re-run through NERGAL before it is admitted to a release. Merge with release: None is fine meanwhile.

Residual-PII spot check (60 of 85 records, seed 20260928): 85 [REDACTED:EMAIL] placeholders confirm the redaction works on clean contacts; one real residual contact was found - a glyph-garbled work e-mail in open_icm_pl_6ec903ca-db89-4a17-acc8-850420c468ac ("JKolbusz @wsiz.rzeszow.pl", stray space before @ in a line mangled by broken font encoding) that the pattern missed. Benign non-hits: 161 digit runs (DOIs, URL slugs), 5 26-digit runs (hex-encoded UTF-16 extraction garbage), 1 IPv4-like hit (a CiteSeerX DOI URL fragment), 28 ORCIDs and 25 institutional byline addresses. Residual risk is MODERATE - extraction noise breaks pattern matching (the missed contact is proof), which is precisely why NERGAL (model-based) is the release gate.

Normalization and reproducibility note

src/fetch_open_icm_pl.py downloads the repository-generated TEXT bitstreams (MD5-verified against declared checksums) and applies Unicode/whitespace normalization, PII pattern redaction, language/quality filtering and exact/near deduplication. Raw->shipped before/after excerpts cannot be regenerated anonymously at review time: the OPEN ICM bitstream endpoints serve an interactive CAPTCHA page to anonymous clients (the acquisition recorded in attribution.jsonl went through it). The raw bitstreams are pinned by checksum per record; the extraction-artifact residue is visible in the corpus samples.