Replication Package: Modelling Higher Education as a Socio-Economic Complex System
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2026
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| _version_ | 1866901579710332928 |
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| author | Paz, Hugo Roger |
| author_facet | Paz, Hugo Roger |
| contents | <p>This deposit contains the <strong>replication package</strong> for the manuscript submitted to <em>Chaos: An Interdisciplinary Journal of Nonlinear Science</em> titled <strong>“Modelling Higher Education as a Socio-Economic Complex System.”</strong></p> <p>It includes:</p> <ul> <li> <p>An <strong>anonymised, derived, analysis-ready dataset</strong> (<code>analysis_ready.parquet/.csv</code>) containing the features and outcomes required to reproduce the main analyses and figures reported in the manuscript.</p> </li> <li> <p><strong>Reproducible code</strong> to (i) generate the public replication dataset from derived artefacts, (ii) re-run the models, and (iii) regenerate the figures (nonlinearity plot, macro-overlay time series, and phase-portrait visualisation).</p> </li> <li> <p>Documentation: a <strong>data dictionary</strong>, a <strong>privacy note</strong> describing the anonymisation steps, and a <strong>reproduction guide</strong> with exact commands.</p> </li> </ul> <p><strong>Privacy and access statement.</strong> Raw administrative student records are <strong>not</strong> included due to privacy and institutional constraints. The released dataset is <strong>pseudonymised and coarsened</strong> (e.g., binned variables and small-cell risk controls) to reduce re-identification risk while preserving replicability of the reported results. Access to raw data, if ever required, can only be considered under controlled conditions and subject to institutional approval.</p> <p>For citation details, see <code>CITATION.cff</code> included in the package.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18755822 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Replication Package: Modelling Higher Education as a Socio-Economic Complex System Paz, Hugo Roger higher education student dropout complex systems nonlinear dynamics socio-economic shocks curriculum analytics student trajectories open science learning analytics <p>This deposit contains the <strong>replication package</strong> for the manuscript submitted to <em>Chaos: An Interdisciplinary Journal of Nonlinear Science</em> titled <strong>“Modelling Higher Education as a Socio-Economic Complex System.”</strong></p> <p>It includes:</p> <ul> <li> <p>An <strong>anonymised, derived, analysis-ready dataset</strong> (<code>analysis_ready.parquet/.csv</code>) containing the features and outcomes required to reproduce the main analyses and figures reported in the manuscript.</p> </li> <li> <p><strong>Reproducible code</strong> to (i) generate the public replication dataset from derived artefacts, (ii) re-run the models, and (iii) regenerate the figures (nonlinearity plot, macro-overlay time series, and phase-portrait visualisation).</p> </li> <li> <p>Documentation: a <strong>data dictionary</strong>, a <strong>privacy note</strong> describing the anonymisation steps, and a <strong>reproduction guide</strong> with exact commands.</p> </li> </ul> <p><strong>Privacy and access statement.</strong> Raw administrative student records are <strong>not</strong> included due to privacy and institutional constraints. The released dataset is <strong>pseudonymised and coarsened</strong> (e.g., binned variables and small-cell risk controls) to reduce re-identification risk while preserving replicability of the reported results. Access to raw data, if ever required, can only be considered under controlled conditions and subject to institutional approval.</p> <p>For citation details, see <code>CITATION.cff</code> included in the package.</p> |
| title | Replication Package: Modelling Higher Education as a Socio-Economic Complex System |
| topic | higher education student dropout complex systems nonlinear dynamics socio-economic shocks curriculum analytics student trajectories open science learning analytics |
| url | https://doi.org/10.5281/zenodo.18755822 |