Reconstructed notebook archive and project dossier

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Reconstructed notebook archive and project dossier

  • Day: 2026-06-18
  • Time: 11:55 to 12:05
  • Project: Dev
  • Workspace: WP 1: Strategic / Growth & Development
  • Status: Completed
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Notebook-Parsing, Html-Export, Data-Lineage, Project-Dossier, Sample-Viability

Description

Session Goal

Reconstruct the execution narrative of an HTML-based notebook archive and turn fragmented session notes into a decision-ready project dossier for the investment-project analysis workflow.

Key Activities

  • Treated exported notebooks as structured artifacts rather than prose, with an emphasis on recovering execution order before summarizing content.
  • Identified HTML export parsing as a key technical risk because code, outputs, and styling are interleaved, which complicates lineage extraction.
  • Distinguished the roles of Notebook 50 and Notebook 57 in the pipeline: Notebook 50 as the ingestion/normalization bridge and Notebook 57 as the exploratory scaffold for jobs-related World Bank investment identification.
  • Surfaced pipeline constraints around source confusion, location-level skew, unresolved amount splitting, and the need for a project-level annotation table before reliable labeling.
  • Shifted the framing from raw data construction toward packaging deliverables such as matched datasets, outcome-coverage tables, and sample-viability matrices.
  • Noted that Chinese project coverage is materially sparser than World Bank coverage, especially when intersected with violence outcomes and time-window constraints.

Achievements

  • Clarified the archive workflow needed for parsing notebook exports and reconstructing execution lineage.
  • Consolidated the main analytical findings from the notebook set into a coherent project dossier.
  • Identified the most important bottlenecks for downstream labeling and sample construction.
  • Established that the next phase is deliverable packaging rather than further exploratory data assembly.

Pending Tasks

  • Build or formalize a project-level annotation table to support labeling.
  • Resolve amount-splitting logic and source disambiguation issues in the investment data layer.
  • Continue packaging matched datasets and coverage/viability tables for decision use.
  • Verify whether the sparse Chinese project coverage is sufficient for the intended outcome windows and admin-level intersections.

Evidence

  • source_file=2026-06-18.sessions.jsonl, line_number=4, event_count=0, session_id=a077fc1597f2aa4836be18244ec9c923c82f1ee44012771cd87e2b8271320bea
  • event_ids: []

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