Exodus, Revisited — Metadata Evidence Archive

This repository contains the metadata-level dataset used in
Exodus, Revisited: How Old Empires Shaped Cultural Memory into Religious Text.

It serves as the transparent evidence ledger behind the book’s meta-analysis of archaeological, textual, bioarchaeological, and environmental studies related to the Exodus and the Hyksos expulsion.

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📘 Purpose

To provide open, citable metadata for every peer-reviewed source included in the study corpus.
Each row represents a single published study screened under the project’s PRISMA-style inclusion criteria.

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📂 Contents

File	Description
exodus_studies_master.csv	Primary dataset of all studies passing inclusion thresholds. Includes bibliographic data, domain classification, dating control, and quality rating.
scorecard_summary.csv	Condensed evidence-weighting table (Strong/Medium/Weak × High/Medium/Low confidence) aggregated by domain.
excluded_studies.csv	Studies screened but excluded, with exclusion reason for transparency.
criteria_reference.csv	Definitions of PRISMA criteria and evidence-rating schema used across the dataset.

⚠️ This repository hosts data only — no scripts, notebooks, or figures.

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🧭 Data Schema

Core fields in exodus_studies_master.csv:

Column	Type	Description
study_id	string	Unique internal reference key
citation	string	Full bibliographic reference
year	integer	Year of publication
domain	categorical	One of: Archaeology, Texts, Toponymy, Epigraphy, Environment, CulturalMemory
region	categorical	Egypt, Sinai, SouthernLevant
temporal_scope	string	Date range covered (BCE)
method_type	string	e.g. excavation, isotope, textual analysis
dating_reliability	string	High / Medium / Low
data_transparency	boolean	Whether methods and sample sizes are reported
strength	string	Evidence strength rating (S/M/W)
confidence	string	Evidence confidence rating (H/M/L)
notes	text	Summary of relevance or limitations
included_in_meta	boolean	Flag if used in quantitative synthesis

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Geographic Distribution of Studies

🔗 Open Interactive Map

🧪 Example Usage

import pandas as pd

df = pd.read_csv("exodus_studies_master.csv")

# Filter for high-confidence archaeological studies
arch = df[(df["domain"] == "Archaeology") & (df["confidence"] == "H")]

print(arch[["citation", "strength", "confidence"]])