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Theory building for coordination in distributed teams

How this study was produced: every step of the run with the file it wrote, and everything the run used, pinned to the exact version. The address of this page is derived from its content: if anything below changed, the address would change.

Example dossierVersion 1 of the studyOpen the study
Dossiersha256:bb6520efc7fabf36ea4fe9b518f406936a63ef19c60437603a62309ac594bf0d
Dossier as JSON

Run settings

e2er
example
Template
disciplined-imagination
AI backend
n/a
Models
n/a

Input data

SHA-256 of the data files, as recorded in the study's provenance.

  • none recorded

Data used

This version does not record its data sources.

Workflow (1 steps)

The run in order, from the run's own record. Each specialist step shows the model and the file it wrote; the hash value is the SHA-256 of that file in the exported folder. Checks that stopped a step are listed where they happened. This is an example: the steps and files are invented.

Initial 1 step · selection judge
  1. selection judge notes/selection_judge.md (example)

What it was built with (3)

Each part with its authors and the version used. e2er parts are pinned by git's content hash of their file at the commit above; follow a link to read that exact version.

Templates (1)

· by Jun Sato
TemplateByPinned version
Theory construction as disciplined imaginationJun Sato example · sha256 cfe89cc8b830

Specialists (1)

· by Jun Sato
SpecialistByPinned version
selection_judgeJun Sato example · sha256 2f8d2d1a8c84

Skills (1)

· by Jun Sato
SkillByPinned version
Running thought trialsJun Sato example · sha256 1661c1025a01

Cite e2er with this dossier

A paper produced with e2er gives one reference for e2er: this dossier. It credits everyone listed above.

@misc{e2er-bb6520efc7fabf36,
  title        = {e2er dossier for "Theory building for coordination in distributed teams"},
  author       = {{e2er}},
  year         = {2026},
  howpublished = {\url{https://e2er.org/d/bb6520efc7fabf36}},
  note         = {Workflow, templates, specialists, skills, connectors and models used, pinned by content hash. Dossier sha256:bb6520efc7fabf36ea4fe9b518f406936a63ef19c60437603a62309ac594bf0d}
}