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2026
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| Online Access: | https://doi.org/10.5281/zenodo.18113321 |
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| _version_ | 1866901608587067392 |
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| author | Sulin, Zhang |
| author_facet | Sulin, Zhang |
| contents | <p>The pervasive concern over "low-information-content" or "hydrated" publications is not evenly distributed across computational science. This paper argues that susceptibility to "hydration" is not a function of researcher ethics but a structural property determined by a field's epistemic constraints. We present a formal model based on two multiplicative axes: Theoretical/Experimental Anchor Strength (A = T·V) and Methodological/Narrative Freedom (F = M·N). A field's Hydration Potential, H = F/A, is determined by the balance between these forces. High-H fields (e.g., bioinformatics) operate with weak anchors and high freedom, making low-information contributions easy. Low-H fields (e.g., lattice QCD) are bound by strong anchors that rigidly dictate methodology and eliminate interpretative flexibility, making "hydration" almost impossible. This model explains divergent paper structures, peer-review cultures, and the reproducibility crisis. We conclude by proposing targeted interventions to increase the effective anchor strength in high-H fields.</p> <p> </p> <p>Keywords: Scientific Methodology, Reproducibility Crisis, Computational Physics, Computational Biology, Epistemology, Lattice QCD, Bioinformat ics, Research Integrity.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18113321 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | The Structural Determinants of "Hydration" in Computational Science: A Constraint-Based Theory of Disciplinary Robustness Sulin, Zhang <p>The pervasive concern over "low-information-content" or "hydrated" publications is not evenly distributed across computational science. This paper argues that susceptibility to "hydration" is not a function of researcher ethics but a structural property determined by a field's epistemic constraints. We present a formal model based on two multiplicative axes: Theoretical/Experimental Anchor Strength (A = T·V) and Methodological/Narrative Freedom (F = M·N). A field's Hydration Potential, H = F/A, is determined by the balance between these forces. High-H fields (e.g., bioinformatics) operate with weak anchors and high freedom, making low-information contributions easy. Low-H fields (e.g., lattice QCD) are bound by strong anchors that rigidly dictate methodology and eliminate interpretative flexibility, making "hydration" almost impossible. This model explains divergent paper structures, peer-review cultures, and the reproducibility crisis. We conclude by proposing targeted interventions to increase the effective anchor strength in high-H fields.</p> <p> </p> <p>Keywords: Scientific Methodology, Reproducibility Crisis, Computational Physics, Computational Biology, Epistemology, Lattice QCD, Bioinformat ics, Research Integrity.</p> |
| title | The Structural Determinants of "Hydration" in Computational Science: A Constraint-Based Theory of Disciplinary Robustness |
| url | https://doi.org/10.5281/zenodo.18113321 |