Evidence & Sourcing
Substantive factual claims should be supported by credible sources appropriate to the question. Preference is given to primary sources, official data, peer-reviewed research, recognized institutions, and transparent methodologies. Secondary analysis may be used when it adds context or synthesis.
Sources should be linked or cited closely enough that readers can identify the basis of a claim and examine the underlying material.
Source preference
Source selection is contextual rather than mechanical. When multiple sources can answer the same factual question, Elyonik Vision generally prefers original data and primary documents, peer-reviewed research, official or recognized institutional analysis with transparent methods, and high-quality secondary synthesis. News reporting, expert commentary, and other secondary material can provide context or identify leads, but should not substitute for stronger underlying evidence when that evidence is available.
Methodological Transparency
Publications should describe the analytical approach at a level appropriate to the work. A qualitative synthesis should not be presented as original empirical research. Scenario analysis should identify important assumptions. Quantitative work should define material variables, units, periods, and limitations. Strategic concepts should separate the proposed idea from evidence that the idea is feasible.
When an article relies primarily on synthesis of existing evidence rather than original data collection, that distinction should be clear to the reader.
Editorial & Review Status
Unless a publication explicitly states otherwise, Elyonik Vision work should not be interpreted as having undergone academic peer review. Publications may undergo source verification, factual review, analytical challenge, editing, or external expert review depending on the project; material external review should be identified when relevant.
The absence of formal peer review does not lower the evidence standard for factual claims. It changes the review process readers should understand when evaluating the work.
Claims, Inference & Uncertainty
Elyonik Vision distinguishes among observed facts, sourced claims, analytical inference, scenario assumptions, forecasts from external sources, and proposed solutions. Confidence should reflect the strength and relevance of evidence rather than the forcefulness of the writing.
Scenario analysis is not prediction. Strategic concepts are not presented as proven solutions until feasibility, constraints, and evidence justify that conclusion.
Intellectual & Editorial Independence
Research is intended to follow evidence and reasoning rather than political or ideological allegiance. Political developments may be examined when they materially affect economic systems, institutions, societies, infrastructure, security, markets, or human welfare.
Sponsored, commissioned, or client-supported research will be identified when relevant. Commercial relationships should not be presented as independent evidence.
Funding, Sponsorship & Conflicts
Publications should disclose material external funding, sponsorship, commissioned work, client support, or other relationships that could reasonably affect how readers interpret the analysis. A commercial relationship is not evidence for a claim, and commissioned work should not be presented as independent research without clear disclosure.
Authors and contributors should identify material conflicts of interest when they are relevant to the subject being analyzed.
Publication Classification
- Research Article: evidence-based analysis advancing an argument or explanation.
- Intelligence Brief: concise, decision-oriented analysis of a development, risk, or opportunity.
- Working Paper: substantive work released while research or validation remains in progress.
- Strategic Concept: an original model or proposed response requiring additional feasibility work.
- Research Report: deeper work with explicit methodology, evidence, limitations, and references.
- Framework: a reusable analytical structure for organizing questions or decisions.
Data, Models & Code
When a publication materially depends on original data, calculations, models, or code, Elyonik Vision should describe those inputs and make supporting material available when doing so is legally permitted, ethically appropriate, practical, and consistent with confidentiality obligations. When underlying material cannot be released, the limitation should be explained where it affects reproducibility or interpretation.
Use of Artificial Intelligence
AI tools may assist with research organization, drafting, editing, data preparation, coding, visualization, or exploratory analysis. They are not treated as authoritative sources. Material factual claims should be validated against appropriate sources, and responsibility for published work remains with the human author or Elyonik Vision.
Corrections & Updates
Material factual errors should be corrected promptly after verification. Substantive changes that alter a publication's meaning, evidence, or conclusion should be identified through an update or correction note. Minor typographic and formatting corrections may be made without a formal notice.
Questions about a publication or potential correction can be sent to contact@elyonikvision.com.