Geng Academic Fraud Detection Report: "Research on the Adjustment of Pre-Competition State of Track and Field Athletes"

Academic fraud report · Geng Detector

Summary

This report assesses the article "Research on the Adjustment of Pre-Competition State of Track and Field Athletes" by Lu Wang, published in Sports World (Academic) in 2015 (DOI: 10.16730/j.cnki.61-1019/g8.2015.08.027). Verdict: CLEARED — no evidence of academic fraud was identified. The paper is a purely theoretical review in the domain of sports education and exercise psychology. A full-text scan confirmed it contains no original experimental data, no figures, no images, and no quantitative tables; only theoretical exposition and textual citations of earlier works (including Guo Jiaxing et al., 2000–2003). Because none of the standard fraud indicators (image reuse, data fabrication, image splicing, statistical anomalies) can be applied to non-empirical texts, the detection toolkit is inapplicable rather than disproven. Cited statistics (e.g., 70% technique vs. 30% psychological causes) are secondary textual references and no timeline conflicts or fabricated reagents/equipment were found. Confidence is moderate; limitation: the absence of empirical material means fraud is undetectable here, but this does not certify broader research integrity beyond the reviewed text.

Verdict

Cleared (✅). No indicators of academic fraud were detected in the reviewed article. The paper is a non-empirical theoretical review and therefore lies outside the scope of image- and data-based fraud detection.

Key findings

The article contains no original experimental data, figures, images, or quantitative tables; it is a pure theoretical review in sports education / exercise psychology.
The two numeric statements cited (70% attributable to technical skill, 30% to psychological disturbance; training load statistics attributed to Guo Jiaxing et al.) are secondary textual citations from earlier references (2000–2003), not newly generated or fabricated data.
No p-values, no fabricated reagents/equipment, and no timeline inconsistencies were identified.
Citation timeline (references 2000–2004) is consistent with conventional 2015 review practices.
The four core fraud-detection dimensions (image reuse, data fabrication, image splicing, statistical anomalies) are inapplicable because there is no empirical content to examine.

Evidence highlights

DOI: 10.16730/j.cnki.61-1019/g8.2015.08.027 (preserved verbatim)
Full-text scan result: zero original datasets, zero charts, zero images, zero quantitative tables.
Reference window: cited works dated 2000–2004, consistent with a 2015 review article.
Citation 1: "70% technical ability / 30% psychological disturbance" — attributed to earlier textbook material, not re-collected data.
Citation 2: Pre-competition training frequency/duration statistics — attributed to Guo Jiaxing et al., 2000–2003.

Notes

A "cleared" verdict here reflects that the reviewed text provides no empirical substrate on which image- or data-fraud could be identified; it does not constitute a positive endorsement of the paper's scholarly quality.
The article is characterized by the reviewer as low-quality and resembling study notes; nonetheless, low quality is distinct from fraud.
Recommended follow-up: none for fraud investigation; readers may treat the article as a study-aid summary rather than an empirical contribution.
Disclaimer (per source): this report was AI-assisted and is intended for academic discussion only; final determinations of misconduct require investigation by qualified institutions. The source text exhibited some encoding artifacts, but core content and bibliographic details were legible.