{
"@context": {
"@version": 1.1,
"hi": "https://honestyinitiative.org/",
"addicto": "https://addictovocab.org/ADDICTO:",
"magc": "https://makg.org/class/",
"fabio": "http://purl.org/spar/fabio/",
"datacite": "https://schema.datacite.org/meta/kernel-4/",
"dc": "http://purl.org/dc/elements/1.1/",
"owl": "http://www.w3.org/2002/07/owl#",
"rdf": "http://www.w3.org/1999/02/22-rdf-syntax-ns#",
"rdfs": "http://www.w3.org/2000/01/rdf-schema#",
"schema": "https://schema.org/",
"skos": "http://www.w3.org/2004/02/skos/core#",
"types": "http://rdfs.org/sioc/types#",
"xsd": "http://www.w3.org/2001/XMLSchema#",
"@description": {
"@id": "description",
"@container": "@index",
"@index": "@id",
"@type": ["rdfs:comment", "dc:description"],
"@language": "en"
},
"Score": {
"@id": "hi:Score",
"@type": "xsd:double"
},
"Bag": {
"@id": "hi:Bag",
"@type": "rdf:Bag",
"@container": "@index",
"@index": "Score"
},
"Keyword": {
"@id": "hi:Keyword",
"@type": "xsd:string",
"@container": "@list"
},
"ScholarlyArticle": { "@id": "schema:ScholarlyArticle", "@type": "schema:ScholarlyArticle" },
"MedicalScholarlyArticle": { "@id": "schema:ScholarlyArticle", "@type": "schema:ScholarlyArticle" },
"abstract": { "@id": "schema:abstract", "@type": "schema:abstract" },
"articleSection": { "@id": "schema:articleSection", "@type": "schema:articleSection" },
"author": { "@id": "schema:author", "@type": "schema:author" },
"comment": { "@id": "schema:comment", "@type": "schema:comment" },
"correction": { "@id": "schema:correction", "@type": "schema:correction" },
"datePublished": { "@id": "schema:datePublished", "@type": "schema:datePublished" },
"description": { "@id": "schema:description", "@type": "schema:description" },
"discussionUrl": { "@id": "schema:discussionUrl", "@type": "schema:discussionUrl" },
"funding": { "@id": "schema:funding", "@type": "schema:funding" },
"identifier": { "@id": "schema:identifier", "@type": "schema:identifier" },
"review": { "@id": "schema:review", "@type": "schema:review" },
"sameAs": { "@id": "schema:sameAs", "@type": "schema:sameAs" },
"url": { "@id": "schema:url", "@type": "schema:url" },
"localScore": { "@id": "hi:localScore", "@type": "xsd:string" },
"fieldOfStudy": { "@id": "hi:fieldOfStudy", "@type": "magc:FieldOfStudy" },
"potentialCompetingInterest": {
"@id": "hi:potentialCompetingInterest",
"@type": "hi:Bag"
},
"continued-employment": { "@id": "hi:continued-employment", "@type": "Score" },
"grant-bias": { "@id": "hi:grant-bias", "@type": "Score" },
"industry-association": { "@id": "hi:industry-association", "@type": "Score" },
"none-declared": { "@id": "hi:none-declared", "@type": "Score" },
"peer-prestige": { "@id": "hi:peer-prestige", "@type": "Score" },
"personal-affliction": { "@id": "hi:personal-affliction", "@type": "Score" },
"policy-suggestive": { "@id": "hi:policy-suggestive", "@type": "Score" },
"policy-validation": { "@id": "hi:policy-validation", "@type": "Score" },
"prior-grant": { "@id": "hi:prior-grant", "@type": "Score" },
"prior-nondisclosure": { "@id": "hi:prior-nondisclosure", "@type": "Score" },
"profit-healthcare": { "@id": "hi:profit-healthcare", "@type": "Score" },
"unaccountable-philantropy": { "@id": "hi:unaccountable-philantropy", "@type": "Score" },
"unratified-treaty": { "@id": "hi:unratified-treaty", "@type": "Score" },
"discourse-aversion": { "@id": "hi:discourse-aversion", "@type": "Score" },
"potentialDomainPrior": {
"@id": "hi:potentialDomainPrior",
"@type": "hi:Bag"
},
"regulatory-misdeclaration": { "@id": "hi:regulatory-misdeclaration", "@type": "Score" },
"title-vali": { "@id": "hi:title-vali", "@type": "Score" },
"press-release": { "@id": "hi:press-release", "@type": "Score" },
"nicotine-addiction": { "@id": "hi:nicotine-addiction", "@type": "Score" },
"stakeholder-disregard": { "@id": "hi:stakeholder-disregard", "@type": "Score" },
"misinformation-prevalence": { "@id": "hi:misinformation-prevalence", "@type": "Score" },
"exaggerative-phrasing": { "@id": "hi:exaggerative-phrasing", "@type": "Score" },
"kin-liability": { "@id": "hi:kin-liability", "@type": "Score" },
"potentialImplicitBias": {
"@id": "hi:potentialImplicitBias",
"@type": "hi:Bag"
},
"zero-risk": { "@id": "hi:zero-risk", "@type": "Score" },
"dragon-slaying": { "@id": "hi:dragon-slaying", "@type": "Score" },
"preferential-subgroup": { "@id": "hi:preferential-subgroup", "@type": "Score" },
"conflating-terminology": { "@id": "hi:conflating-terminology", "@type": "Score" },
"studyFindings": {
"@id": "hi:studyFindings",
"@type": "hi:Bag"
},
"beneficial": { "@id": "hi:beneficial", "@type": "Score" },
"negative": { "@id": "hi:negative", "@type": "Score" },
"confidence": { "@id": "hi:confidence", "@type": "Score" },
"clinical-relevance": { "@id": "hi:clinical-relevance", "@type": "Score" },
"keywords": {
"@id": "schema:keywords",
"@type": "schema:keywords"
},
"cross-sectional": { "@id": "hi:cross-sectional", "@type": "Keyword" }
},
"@description": {
"@id": "description",
"Bag": "Tag list of floats (for comparison self-scoring might be ceiled towards 1.0)",
"Score": "A rough self-estimate between 0.0 and 1.0",
"Keyword": "Keywords/tag list, e.g.: cross-sectional, survey-derived, mass-spectography, structured-data, ...",
"potentialCompetingInterest": "Secondary, social and financial PCOIs. Notably *potential* doesn't mean established! Transparency should primarily alleviate concerns <https://doi.org/10.1038/nm0906-979>",
"continued-employment": "conclusions might affect tenure or position (CFI)",
"grant-bias": "funding leans to risk-averse/bureaucratic incentives (CFI)",
"financial-stake": "…",
"intellectual-property": "…",
"industry-association": "direct or indirect ties to business-relevant interest orgs (CFI, must lean on maximum =1.0 impact)",
"none-declared": "might be interpreted as limited commitment to disclosure <https://doi.org/10.1038/nmeth1106-869>",
"peer-prestige": "academic standing or social engagement",
"personal-affliction": "individual use, impairment, preferences",
"policy-suggestive": "paper can be interpreted to derive policy suggestions",
"policy-validation": "acquiescence with overt or preconceived policy drifts",
"prior-grant": "any grants that might constitute a PCOI on previous papers",
"prior-nondisclosure": "flaunted previous conflict of interest disclosures, Bonnie",
"stakeholder-relation": "Aquainted or themselves among effected population group (CFI)",
"unaccountable-philantropy": "Relations to explicit harm reduction opposition (e.g. Bloomberg front groups)",
"profit-healthcare": "Healthcare ecosystem primarily profit-driven (CFI)",
"unratified-treaty": "e.g. international climate accords, or FCTC in the US",
"discourse-aversion": "indications for echo chamber / rationales not sustaining public debate / potential vested interests",
"potentialDomainPrior": "Any preconceived notions that might currently be in dispute within the respective academic field, or induced by policy or lobbying efforts. (This vocabulary sample is about strenuous affairs in NVP-related articles.)",
"regulatory-misdeclaration": "e.g. nicotine as tobacco products",
"title-vali": "EVALI attributed to NVPs, absent or insufficient disambiguation",
"press-release": "findings are intended to find their way into press campaigns",
"nicotine-addiction": "conflate tobacco addiction and nicotine dependence",
"stakeholder-disregard": "directl or indirect advocation to preempt input from effected subjects",
"misinformation-prevalence": "Relative frequency of e-cig harm exaggerations in attention outlets and PH messaging; e.g. California=1.0, US=0.9, India=0.5, UK=0.2",
"exaggerative-phrasing": "alluding to an 'epidemic' based on a marketing declaration",
"kin-liability": "prevalence of attributive notions",
"potentialImplicitBias": "Personal preferences",
"zero-risk": "possible zero-risk bias / nirvana fallacy",
"dragon-slaying": "enemy focus in assessment",
"preferential-subgroup": "refers to both invisibility (historical disregard of female physice), or sole focus on marketable population subsets",
"conflating-terminology": "Does not use clear delineations between different objects pertaining to study, [see also: AddictO]",
"studyFindings": "Scores on overall study conclusion, all estimates, none to be interpreted as direct probability",
"beneficial": "errs on positive findings",
"negative": "found mostly negative outcomes",
"confidence": "estimate on data set reliability or modelling",
"clinical-relevance": "estimate on findings relevance to real-world health outcomes (e.g. 1.0=instant death, or 0.1=more hypothetical)"
}
}