Shine on You Crazy Diamond (LODLIB v2.07)

This week’s version initiates data normalization for the study of the Gospel of Marcion in concert with our freshly revised datasets for the fourth round of review of a short data paper and related datasets we have submitted to the Journal of Open Humanities Data, whose Editor-in-Chief is Barbara McGillivray at the Alan Turing Institute at Cambridge. The peer-review process has been wonderful and indeed transformative in my thinking and methodology.

The normalization of GMarc data (transforming past messy/noisy reconstructions into standardized data) will—mark my words—prove the tipping point in the transformation of the scholarly study of the canonical and non-canonical gospel strata into legitimate Data Science. In concert with our new normalization standards and normalized datasets of public domain reconstructions, we also release a slew of data visualizations illustrating the contents and relationships of all past GMarc reconstruction datasets. These visualizations clearly reinforce our scientific hypotheses and proofs that GMarc was in fact the third gospel stratum, based on two sources (the first gospel stratum, Qn, and an early version of Mark).

The age of hagiographical controlling bias and assumptions in Gospel Studies is over. The age of Gospel Data Science is upon us. Scholars can either get on board or get out of the way, but no matter what you do, you can’t stop this.

Digital Edition of Theodor Zahn’s 1892 Reconstruction of GMarc Features in LODLIB v2.06

This week’s version puts us over 400,000 words. In concert with the peer-review of our Harnack 1924 datasets for the Journal of Open Humanities Data, we have compiled datasets for other closely related, public domain reconstructions of Marcion’s Gospel. Today’s release features Zahn’s 1892 reconstruction, the second major reconstruction in the history of scholarship. Zahn’s edition totals 10571 words, far less than Hahn’s 14400, yet far more than Harnack’s 4207 4338. The disparity between these reconstructions exemplifies how much the results of reconstruction are determined by a priori assumptions and methodologies. We anticipate adding granular word counts by passage and tradition type (single, double, triple) for the editions of Hahn and Zahn in the Data Dictionary (DD 1.6) of next week’s LODLIB update.