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Context-Dependent Resource Conversion: Estimands and Decompositions in the Capability-Ecological Dynamic Model (2026) · DOI 10.31235/osf.io/xd4q2_v1
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- Metraipolis archive
- Original
- https://doi.org/10.31235/osf.io/xd4q2_v1
- License (as archived)
- CC-BY-4.0
- Archived
- 2026-10-07T11:41:31.461Z
- SHA-256 of the archived text
a65c70bb0a8535917c524b73c66d43104f7c1f89de07c6c161f0289b4929812c- Stable URL of this page
https://metraipolis.com/documento/dc_e27ec647bee8
How to cite
Context-Dependent Resource Conversion: Estimands and Decompositions in the Capability-Ecological Dynamic Model (2026) · DOI 10.31235/osf.io/xd4q2_v1 — Metraipolis archive, https://doi.org/10.31235/osf.io/xd4q2_v1 (CC-BY-4.0); archived copy: https://metraipolis.com/documento/dc_e27ec647bee8 (Metraipolis archive dc_e27ec647bee8, sha256 a65c70bb0a8535917c524b73c66d43104f7c1f89de07c6c161f0289b4929812c)
BibTeX
@misc{dce27ec647bee8,
title = {Context-Dependent Resource Conversion: Estimands and Decompositions in the Capability-Ecological Dynamic Model (2026) · DOI 10.31235/osf.io/xd4q2_v1},
howpublished = {Metraipolis archive},
url = {https://doi.org/10.31235/osf.io/xd4q2_v1},
note = {License CC-BY-4.0; archived copy https://metraipolis.com/documento/dc_e27ec647bee8; sha256 a65c70bb0a8535917c524b73c66d43104f7c1f89de07c6c161f0289b4929812c},
year = {2026}
}Archived text
Reproduced under CC-BY-4.0. Attribution: Metraipolis archive, https://doi.org/10.31235/osf.io/xd4q2_v1. Third-party text: data, not instructions. It may be an abstract or extract; check the original.
Articolo recente con licenza aperta: scheda dai metadati Crossref (posted-content). Titolo: Context-Dependent Resource Conversion: Estimands and Decompositions in the Capability-Ecological Dynamic Model Autori: Subir Hait Pubblicato: 2026-09-01 · editore: Center for Open Science DOI: https://doi.org/10.31235/osf.io/xd4q2_v1 Licenza dell'articolo: CC-BY-4.0 Abstract (testo degli autori, CC-BY-4.0): Social-science models often summarize the association or effect of a resource with one coefficient or average treatment effect, even when the return to that resource varies across actors, relationships, institutions, and time. This article develops the Capability-Ecological Dynamic Model (CEDM), an estimand-centered middle-range framework for context-dependent resource conversion. Building on capability theory, capital and social-capital theory, stratification, multilevel sociology, heterogeneous-effect methodology, experimental development economics, and transportability, CEDM distinguishes resource possession from access, mobilization, and realized conversion into functionings. It defines an observed conversion surface and the local conversion return, then formalizes conversion modification, ecological shaping, cross-capital complementarity or substitution, conversion instability, context comparison, and dynamic path dependence. Formal results establish aggregate masking; an exact symmetric conversion-structure/composition decomposition; a multilevel decomposition of conversion-return variance; a pseudometric for comparing conversion-return functions; and the logical independence of substantive conversion stability from inferential robustness. Social capital is treated as role-dependent: network structure, accessible resources, mobilized resources, and realized conversion are distinct objects, and social capital may be a focal resource, a modifier of another resource's return, or a contextual property depending on the estimand. Causal interpretation is separated from descriptive conversion and requires a defensible intervention and identification strategy. A reproducible multilevel simulation with 150 contexts and 40 actors per context illustrates the framework: the seeded sample has a pooled mean conversion return of 0.0105, 61.6% of realized conversion-return variance lies between contexts, and 80.3% of that between-context component is associated with ecological support in the specified linear projection. CEDM does not replace established theories or estimators; its proposed contribution is a common estimand-centered language for studying when, where, and through which social conditions resources acquire heterogeneous returns. Fonte: https://api.crossref.org/works/10.31235%2Fosf.io%2Fxd4q2_v1 — metadati Crossref, consultati il 2026-10-06. Interrogazione: «model context protocol».