Rubric

Rubrics

Annotations contain two parts: a priority and outline-style highlights. Therefore there are two rubrics.

Highlights Rubric

  • 3-5 bullets

  • 85 character limit, including whitespace

  • no end punctuation

Examples

  • Cancer Cell, Volume 32, Issue 2, 14 August 2017, Pages 169-184.e7

    • Metastases mostly disseminate late from primary breast tumors, keeping most drivers

    • Drivers at relapse sample from a wider range of cancer genes than in primary tumors

    • Mutations in SWI-SNF complex and inactivated JAK-STAT signaling enriched at relapse

    • Mutational processes similar in primary and relapse; radiotherapy can damage genome

  • Learning and Instruction, Volume 21, Issue 6, December 2011, 746-756

    • Fading of a script alone does not foster domain-general strategy knowledge

    • Performance of the strategy declines during the fading of a script

    • Monitoring by a peer keeps performance of the strategy up during script fading

    • Performance of a strategy after fading fosters domain-general strategy knowledge

    • Fading and monitoring by a peer combined foster domain-general strategy knowledge

Priorities Rubric

Save Your Time!

The Priorities Rubric is simply the sum of tedious details regarding how we:

  1. Identified which references to annotate, and

  2. Distributed those items with scores on a 1-3 scale, in a matter we found reasonable.

So, full disclosure: this information is under-documented for now. It's also only relevant for internal purposes at this point, if at all.

Eventually, post-publication

Code, an interactive citation graph, and other goodies used in this process will appear.

Preparation

  • Each reference contains provenance tagging by section.

  • This group field allows us to analyze our citations.

  • We fetched further informative metadata via:

    1. first-party literature analysis,

    2. third-party machine-learning platforms, and

    3. third-party query services such as Crossref.

Calculation

We then tabulated two levels of citation analysis:

  1. First, we looked at descriptive statistics.¹

  2. Next, we calculated a few nontrivial measures.²

  3. Finally, we did a qualitative rundown of known-significant works and how we cited them.

Descriptive Stats

Descriptive stats of relevance include:

  1. citation frequency,

  2. citation centrality,

  3. between-section differences, and so forth.

Statistical Measures

Statistical measures of relevance include:

  1. mutual and interaction information,

  2. graphical properties — especially cliques and skew partitions,

  3. "standard" citation analysis benchmarks, and so forth.

  4. Finally, we

  • This ultimately the combined multi-bibliography by factors like:

    • citation frequency,

    • citation centrality, and

    • citation mutual / interaction information wit

Evolution

This section is a stub. Notes on how we arrived at these outcomes to appear.

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