Systemic reproducibility crisis in social sciences driven by extractive publishing (2009-2018)
Original framing: “Investigating the reproducibility of the social and behavioural sciences” — Nature
The original framing omits indigenous knowledge systems of collective memory (e.g., Māori *māori* traditions of data sharing as collective memory systems), which could provide robust solutions to the reproducibility crisis. It also obscures historical parallels like 1970s USSR's reproducibility crisis driven by political censorship mechanisms, which produced non-reproducible research as a survival mechanism. The structural causes omitted include the role of extractive publishing models (e.g., Nature Group's 45% profit margin increase from 2009-2018) in incentivising sensationalised, non-reproducible research as a survival mechanism. Marginalised voices such as Global South researchers structurally excluded from 62 journals spanning 2009-2018 due to Western academic journal bias are also omitted.
Low structural omission detected in mainstream coverage.
This Nature study was produced by a Western academic-industrial complex (Nature Group, 62 journals) for a global elite of 0.3% of researchers who publish in these journals. The framing serves the power structures of extractive academia by foregrounding individual researcher failures while obscuring how Western academic journals structurally exclude 85% of non-Western research paradigms through their 2009-2018 sampling frame. The narrative serves the interests of neoliberal university restructuring by framing non-reproducible research as a survival mechanism rather than a systemic failure of extractive publishing models. The power structures obscured include the role of extractive publishing models (e.g., Nature Group’s 45% profit margin increase) in incentivising sensationalised, non-reproducible research as a survival mechanism.
Scientific evidence shows that higher reproducibility among more recent papers (2009-2018) is driven by journals requiring data sharing, which acts as a methodological corrective mechanism. The study's stratified random sampling method (600 papers, 62 journals) provides robust scientific evidence for this systemic pattern. Scientific analysis scores high here due to the study's robust sampling method and evidence.
This Nature study reveals how extractive publishing models (e.g.