Research data·v1.0.0

Research data archive

Each package is served exactly as audited, byte for byte; verify it with the SHA-256 shown. Data, figures and documentation are licensed CC BY 4.0 and analysis scripts MIT. The simulation engine, dependency locks and raw event streams are not distributed, so the simulations cannot be re-run in full.

Research dataset · P10-P12

SHING CIVITAS P10-P12 Autonomous Care Dataset

SHING CIVITAS P10–P12 自主照护研究数据集

P10P11P12

Three consecutive simulated-society experiments (P10, P11, P12) on autonomous care: the effect of disabling scripted household food sharing; locating the care breakdown with need cues and value visibility; and replication under a lawful care-information contract, with a paired one-care-versus-one-rest counterfactual. Frozen protocols, verified aggregate statistics, per-world result rows, analysis scripts and chart data.

Download ZIPSC-P10-P12-Autonomous-Care-v1.0.zip · 338.1 KiB · 42 files

Version: v1.0.0
Creator: Martin Zhong
Publisher: SHING CIVITAS
Released: November 12, 2026

SHA-256b9c86aa38d893ebb41f8b9690a2c21918ffb78845f6660c3da41a754869d5747

Verify after download: sha256sum SC-P10-P12-Autonomous-Care-v1.0.zip · PowerShell Get-FileHash SC-P10-P12-Autonomous-Care-v1.0.zip

CC BY 4.0 MIT

Data, figures and documentation: CC BY 4.0. analysis/ scripts: MIT. The simulation engine is not included. Full licence texts are in LICENSES/; the per-file map is metadata/LICENSE_MAP.md.

Cite (APA)

Zhong, M. (2026). SHING CIVITAS P10-P12 Autonomous Care Dataset (Version 1.0.0) [Data set]. SHING CIVITAS. https://shingcivitas.com/

BibTeX

@dataset{zhong2026_p10p12autonomouscare,
  author    = {Zhong, Martin},
  title     = {SHING CIVITAS P10-P12 Autonomous Care Dataset},
  year      = {2026},
  version   = {1.0.0},
  publisher = {SHING CIVITAS},
  url       = {https://shingcivitas.com/}
}

Entry type @dataset requires biblatex; classic BibTeX reports it as unknown. Machine-readable citation metadata: CITATION.cff (CFF 1.2.0) inside the ZIP. No DOI has been assigned.

Reproducibility scope (verbatim from the manifest)

Recalculating results from the data: supported — aggregate statistics can be recomputed from data/ with any CSV/JSON tool or the statistical functions in analysis/
Reproducing the published statistical analysis: partial — analysis/*.py document the frozen statistical rules but import private modules (civlab, scripts, p12_study) that are NOT distributed, so the pipeline cannot run end to end
Re-running the simulations: not supported — engine source, dependency lock, per-tick event streams, model version snapshot and API credentials are absent by design

Inside: README.md (overview), CITATION.cff, LICENSE and LICENSES/, metadata/LICENSE_MAP.md, metadata/CHECKSUMS.sha256. File names inside still use the project’s earlier name “Emergentia”.

Paper: Article 1 · Who Cares for the Children? Automatic Rules, Information Boundaries and Care in an Artificial Society

Research dataset · P17-P18

SHING CIVITAS P17-P18 Tool Economics Dataset

SHING CIVITAS P17–P18 工具经济学研究数据集

P17P18P16-AP16-B

P17 measures the objective value of tools, houses, storage, mutual aid and exchange; P18 uses six forks to separate four causal estimands (free tool provision, paid manufacture from scratch, the use value of an already-paid tool, and the craft-when-carrying habit). Includes P16-A and P16-B antecedent evidence and protocol/CORRECTIONS.md.

Download ZIPSC-P17-P18-Tool-Economics-v1.0.zip · 2.29 MiB · 51 files

Version: v1.0.0
Creator: Martin Zhong
Publisher: SHING CIVITAS
Released: November 12, 2026

SHA-2563d6750e74de64cf4a8078636d5aad2d6d34d46723c34b3b48bc97bb34feb33ba

Verify after download: sha256sum SC-P17-P18-Tool-Economics-v1.0.zip · PowerShell Get-FileHash SC-P17-P18-Tool-Economics-v1.0.zip

CC BY 4.0 MIT

Data, figures and documentation: CC BY 4.0. analysis/ scripts: MIT. The simulation engine is not included. Full licence texts are in LICENSES/; the per-file map is metadata/LICENSE_MAP.md.

Cite (APA)

Zhong, M. (2026). SHING CIVITAS P17-P18 Tool Economics Dataset (Version 1.0.0) [Data set]. SHING CIVITAS. https://shingcivitas.com/

BibTeX

@dataset{zhong2026_p17p18tooleconomics,
  author    = {Zhong, Martin},
  title     = {SHING CIVITAS P17-P18 Tool Economics Dataset},
  year      = {2026},
  version   = {1.0.0},
  publisher = {SHING CIVITAS},
  url       = {https://shingcivitas.com/}
}

Entry type @dataset requires biblatex; classic BibTeX reports it as unknown. Machine-readable citation metadata: CITATION.cff (CFF 1.2.0) inside the ZIP. No DOI has been assigned.

Reproducibility scope (verbatim from the manifest)

Recalculating results from the data: supported — aggregate statistics can be recomputed from data/ with any CSV/JSON tool or the statistical functions in analysis/
Reproducing the published statistical analysis: partial — analysis/*.py document the frozen statistical rules but import private modules (civlab, scripts, p12_study) that are NOT distributed, so the pipeline cannot run end to end
Re-running the simulations: not supported — engine source, dependency lock, per-tick event streams, model version snapshot and API credentials are absent by design

Paper: Article 2 · A Tool Can Be Useful Without Being Worth Making: Scarcity, Opportunity Cost and Economic Decisions in an Artificial Society

Research dataset · P19

SHING CIVITAS P19 LLM Residents Dataset

SHING CIVITAS P19 LLM 居民研究数据集

P19

Experiment in which a third-party language model continuously controlled focal adult residents in simulated worlds: frozen protocol, verified statistics, per-run cohort table, aggregated API usage, analysis scripts and an original figure, with a mortality correction note. Contains no model prompts, model responses or raw API ledgers.

Download withheld. This dataset (P19) is undergoing a third-party rights review and is not available for download. If the review is cleared, it will be provided here with licence and citation information.

Reason recorded by the release audit: The third-party model provider's open-platform terms forbid, without permission, any use of its trademarks, trade names or prominent brand features, expressly including its name (clause 5.2), and make such breach a fundamental breach (clause 5.4). This package names the model and provider 37 times in text files (README, environment notes, one analysis script and the protocol documents) and twice in a figure label rendered into the PNG. No written permission obtained. No verbatim model output, prompts or API ledgers are included. Data integrity and security checks passed; the block is a rights issue, not a quality issue.

Paper: Article 3 · When Language-Model Residents Starved More Than Simple Code: Memory, Scarcity and Survival in an Artificial Society

Research dataset · P14

SHING CIVITAS P14 Bounded Beliefs Dataset

SHING CIVITAS P14 有限主观信念研究数据集

P14

Comparison of four predictors sharing one observation stream on exact finite-distribution CRPS at +1, +4 and +12 ticks over 40 paired worlds, with an inventory-twin negative control and post-hoc notes. The +12-tick gate did not pass and is retained as a negative result.

Download ZIPSC-P14-Bounded-Beliefs-v1.0.zip · 59.8 KiB · 27 files

Version: v1.0.0
Creator: Martin Zhong
Publisher: SHING CIVITAS
Released: November 12, 2026

SHA-2563e0a16c598a2df014e9a8f481ebe39d6c773f66b7eececfea06b9accad44d205

Verify after download: sha256sum SC-P14-Bounded-Beliefs-v1.0.zip · PowerShell Get-FileHash SC-P14-Bounded-Beliefs-v1.0.zip

CC BY 4.0 MIT

Data, figures and documentation: CC BY 4.0. analysis/ scripts: MIT. The simulation engine is not included. Full licence texts are in LICENSES/; the per-file map is metadata/LICENSE_MAP.md.

Cite (APA)

Zhong, M. (2026). SHING CIVITAS P14 Bounded Beliefs Dataset (Version 1.0.0) [Data set]. SHING CIVITAS. https://shingcivitas.com/

BibTeX

@dataset{zhong2026_p14boundedbeliefs,
  author    = {Zhong, Martin},
  title     = {SHING CIVITAS P14 Bounded Beliefs Dataset},
  year      = {2026},
  version   = {1.0.0},
  publisher = {SHING CIVITAS},
  url       = {https://shingcivitas.com/}
}

Entry type @dataset requires biblatex; classic BibTeX reports it as unknown. Machine-readable citation metadata: CITATION.cff (CFF 1.2.0) inside the ZIP. No DOI has been assigned.

Reproducibility scope (verbatim from the manifest)

Recalculating results from the data: supported — aggregate statistics can be recomputed from data/ with any CSV/JSON tool or the statistical functions in analysis/
Reproducing the published statistical analysis: partial — analysis/*.py document the frozen statistical rules but import private modules (civlab, scripts, p12_study) that are NOT distributed, so the pipeline cannot run end to end
Re-running the simulations: not supported — engine source, dependency lock, per-tick event streams, model version snapshot and API credentials are absent by design

Paper: Article 4 · Better Forecasts Are Not Yet Learning to Act: Bounded Beliefs, Prediction Accuracy and the Limits of Learning in an Artificial Society

Metadata source: audited data-download manifest (manifest 1.0.0, 2026-11-11, unchanged) · website release record