1241 - Identify reporting gaps that limit adoption and scale-up decisions—especially weak links to operational and economic outcomes and the limited operationalization of culture and learning and propose practical ways to address them (framework, glossary, measurement agenda). - Scope is limited to mining and mining-adjacent recovery contexts where streams, mechanisms, or performance logics are directly relevant to mining and metallurgical residues and effluents. Cross-sector papers are included only when they provide transferable recovery, measurement, or deployment logic that is applicable to mining circularity decisions. 3. METHODOLOGY OR APPROACH 3.1 Review design We apply a two-stage review method. First, we use bibliometric analysis and science mapping of Scopus and Web of Science records (2000–2025) to identify publication trends and thematic clusters. Second, we conduct a structured full-text synthesis of 18 core papers using a standardized extraction template to compare input streams, recovery mechanisms, performance metrics, and deployment conditions. 3.2 Data sources and search strategy Records were retrieved from Web of Science and Scopus for 2000–2025. Searches were executed in title, abstract, and keyword fields using database-specific syntax. The full search strategy combined five concept blocks: (1) mining and mineral-processing context, (2) circular economy and resource recovery terms, (3) waste-stream and technology pathway terms (reprocessing, metal recovery, mine-water and acid mine drainage treatment, and industrial symbiosis), (4) performance and outcome terms (technical, operational, and economic), and (5) organizational lenses (culture and organizational learning). To test how strongly organizational concepts are indexed in the mining circularity corpus, three query variants were run in both databases: a full query including culture and learning terms, a version excluding culture terms, and a version excluding learning terms. This sensitivity check provides evidence on how often culture and learning constructs appear explicitly in mining circularity indexing. 3.3 Record management, de-duplication, and screening Exports from both databases were merged and de-duplicated using DOI where available, supplemented by matching on title, year, and source where DOI was missing or inconsistent. Screening followed staged filtering (title/abstract screening, relevance checks, and full-text availability for deep reading). A derived relevance label (used in the working dataset) guided prioritization for full-text synthesis. 3.4 Bibliometric analysis and science mapping Bibliometric performance analysis described publication patterns and supported the identification of dominant themes and research fronts. Science mapping was conducted through keyword-based thematic structuring (co-word logic) and cluster interpretation using representative documents and dominant terms.
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