Open Issues Need Help
View All on GitHubAI Summary: The task requires analyzing a research paper on domestic violence, specifically focusing on a table with inconsistent data. It involves verifying the mathematical inconsistencies, comparing the data with other studies, and suggesting corrections and methodological improvements. The analysis should include statistical tests and code verification. Finally, it requires summarizing the findings in a structured report, including recommendations for handling the academic misconduct.
AI Summary: The task is to analyze a GitHub repository containing a compilation of alleged errors and plagiarism in a master's thesis. This involves reviewing the provided documentation, including screenshots, tables, and text excerpts, to assess the validity of the claims. The goal is to summarize the findings and rate the fun and complexity of the task.
AI Summary: The task is to review a provided academic paper and identify statistical errors in its analysis and interpretation of results, specifically focusing on p-values, effect sizes, and multiple testing corrections. The review should be based on established statistical principles and guidelines, and the findings should be presented in a clear and concise manner.
AI Summary: The task requires a thorough review of a master's thesis, identifying and documenting instances of plagiarism, data fabrication, and various writing errors. This includes verifying citations against academic databases, analyzing the statistical methods used, and assessing the overall academic integrity of the work. The review should follow established citation styles and guidelines, and a detailed report outlining the findings and suggested corrections is needed.
AI Summary: The task requires analyzing a provided research project and a specific issue within it. The project involves a critical review of a master's thesis, highlighting numerous errors in methodology, data analysis, and writing. The issue focuses on a critical statistical error: the incorrect use of linear regression for a binary dependent variable. The task involves summarizing the project's findings, explaining the statistical error in detail, and assessing the severity and impact of the error. It also requires rating the fun and complexity of the task.
AI Summary: The task requires analyzing a GitHub repository containing a compilation of errors and issues found in a master's thesis. The specific issue highlighted involves a simple mathematical error (subtraction of percentages) in the thesis. The task involves verifying the error, analyzing its severity, suggesting improvements to prevent similar errors, and providing relevant resources and tools.
AI Summary: The task is to analyze a GitHub repository containing a compilation of alleged errors and issues in a master's thesis. The specific request is to verify the accuracy of the numerous literature citations, focusing on whether the cited works are relevant to the thesis content and whether there are any instances of fabricated or duplicated citations.
AI Summary: The task involves analyzing a GitHub repository containing a compilation of errors and alleged fraudulent activities within a master's thesis. The specific request is to assess the validity of the claim that the author of the thesis fabricated data in a self-review document by comparing the results presented in the self-review with results obtained by rerunning the provided Stata code. The analysis should also evaluate the reliability of the regression results presented in the thesis.
AI Summary: The task involves analyzing a GitHub repository containing a compilation of errors and issues found in a master's thesis. Specifically, it requires verifying the reproducibility of six figures from the thesis using provided R code and data. The analysis needs to identify and explain why some figures cannot be reproduced, potentially due to errors in the code or data inconsistencies.
AI Summary: Analyze a Chinese-language GitHub repository documenting alleged issues in a master's thesis, including suspected fraud, plagiarism, data errors, and writing errors. The task involves summarizing the findings and assessing the credibility of the claims presented in the repository and a linked Zhihu article.
AI Summary: Correct a typo in a research paper. The typo is "各类心里" (various psychological states) which should be "各类信息" (various information) on page 40 of a thesis about the economic analysis of how fertility behavior affects domestic violence in China and India. The task involves identifying and correcting the typographical error.
AI Summary: Analyze a GitHub repository containing a compilation of alleged errors and ethical issues in a master's thesis, focusing on the newly added self-review and data files linked in a pull request. The task involves summarizing the findings and assessing the severity of the issues.
AI Summary: The task involves analyzing a GitHub repository documenting alleged issues in a master's thesis, including plagiarism, data fabrication, and writing errors. The goal is to understand the nature and extent of the problems highlighted in the repository and a related issue suggesting alternative file-sharing methods.
AI Summary: Analyze a specific error in a master's thesis concerning the misuse of a 'motherhood penalty' variable (σ) within a model of domestic violence. The task involves comparing the thesis's definition and application of σ with its stated hypotheses to determine if the application is deliberate manipulation to support later propositions.
AI Summary: The task involves searching the Ford Foundation Grants Database to identify which universities from a provided list of Project 985 universities in China have received grants from the Ford Foundation. The search strategy is outlined, and the results of the search for each university are to be recorded.
AI Summary: The task is to analyze a GitHub repository containing a compilation of errors and issues found in a master's thesis. The analysis should focus on verifying the claims made about the thesis, specifically regarding plagiarism, data fabrication, and analytical errors. One specific issue highlights misinterpretations of a cited paper by Pollak (2004). The goal is to assess the validity of the criticisms and the overall quality of the thesis based on the provided evidence.
AI Summary: Analyze a research paper's methodology and conclusions regarding the relationship between fertility and domestic violence, focusing on a specific claim about the net benefit of childbirth. The task involves comparing the paper's interpretation of a cited source with the original source's meaning to determine if there is evidence of academic misconduct or flawed logic.
AI Summary: The task is to analyze a provided GitHub repository containing a compilation of alleged errors and fraudulent data in a master's thesis. The analysis should focus on verifying the claims made in the repository, specifically regarding data sources, statistical methods, and potential plagiarism. An additional issue highlights the lack of citations for specific data points, suggesting potential fabrication. The goal is to assess the validity of the accusations.
AI Summary: The task involves analyzing a master's thesis for errors, specifically focusing on data fabrication, plagiarism, and other academic misconduct issues. The thesis has been converted into a Markdown format and is available online, making it easier to review and annotate. The goal is to compile a comprehensive list of errors and potentially report them to relevant authorities.
AI Summary: The task is to analyze a provided research paper and identify inconsistencies and errors within it, specifically focusing on the discrepancies in reported domestic violence statistics. This involves comparing data presented in the paper with external sources and evaluating the methodology used.
AI Summary: Analyze a master's thesis on the economic analysis of fertility behavior and domestic violence in China and India, focusing on identifying and categorizing errors across various aspects: data fabrication, plagiarism, data analysis, writing, formatting, and academic ethics. The task involves reviewing a detailed list of identified issues and potentially referencing external sources to verify claims.
AI Summary: Correct a typographical error in a research paper. The error is the repetition of "NFHS4" in a sentence that should read "NFHS3 and NFHS4". The task involves identifying the location of the error within a larger document and making the correction.
AI Summary: Analyze a master's thesis for errors in methodology, data, analysis, writing, formatting, and academic ethics, based on a provided list of specific issues and a GitHub repository containing the thesis and supporting materials. The task involves identifying and categorizing the errors, summarizing findings, and rating the overall quality of the thesis.
AI Summary: The task involves reviewing a GitHub repository containing a compilation of errors and issues found in a master's thesis. The specific request is to analyze the identified problems within the thesis's English-language references, focusing on formatting errors and inconsistencies in citation style. This includes checking for capitalization errors in journal titles and article titles, verifying the accuracy of journal names, identifying duplicate entries, correcting working paper citations, and confirming the existence and correct classification of cited works.
AI Summary: Analyze a master's thesis on the economic analysis of fertility behavior's impact on domestic violence, focusing on identifying and categorizing errors in data, methodology, analysis, writing, and academic ethics. The task also involves evaluating the validity of the thesis's conclusions and policy recommendations.
AI Summary: Organize the numerous issues found in Yang Jingyuan's thesis into a more manageable structure. This involves moving the detailed descriptions of each issue from the README file into separate files, categorized within folders. This will make it easier for contributors to work on individual issues and improve the overall maintainability of the project.
AI Summary: The task is to analyze a provided GitHub repository containing a compilation of errors and issues found in a master's thesis. The analysis should focus on identifying and summarizing the key errors, particularly those related to model usage and correlation analysis, as highlighted in a linked Bilibili video. The goal is to create a concise summary of the most critical flaws in the thesis, potentially contributing to a pull request (PR) on the GitHub repository.
AI Summary: Analyze a GitHub repository documenting alleged plagiarism and data fabrication in a Wuhan University master's thesis. The task involves reviewing extensive evidence of errors, inconsistencies, and potential academic misconduct detailed in the repository and a supplementary image file, assessing the validity of the claims.
AI Summary: The task involves reviewing a master's thesis for various errors, including factual inaccuracies, plagiarism, data manipulation, statistical errors, and writing/formatting inconsistencies. The review requires careful examination of the thesis document, cross-referencing with cited sources, and potentially using statistical software to verify data analysis. The goal is to compile a comprehensive list of identified issues and their descriptions, categorized for clarity.
AI Summary: Analyze the provided research paper, focusing on the identified data error in Figure 2.8 and 2.9 (page 20) related to event study methodology. Determine if the issue is a simple data error or potential data fabrication, considering the missing confidence intervals and inconsistent time periods.
AI Summary: Analyze the validity of a linear regression analysis performed on data extracted from a master's thesis. The analysis claims to show a weak correlation between fertility and domestic violence, based on a low R-squared value. The task involves verifying the regression's methodology (presence of a constant term), and assessing the significance of the coefficient rather than solely relying on the R-squared value to determine correlation.
AI Summary: The task is to review a provided GitHub project containing a compilation of errors and issues found in a master's thesis. The specific request is to assess the validity of two points raised in an issue regarding the thesis's citation format and style, specifically focusing on whether the citation style is acceptable within the context of economics and whether the alphabetical ordering of references is appropriate.
AI Summary: The task is to verify a calculation in a thesis that analyzes the relationship between fertility and domestic violence. Specifically, it involves checking if the difference between 5.4% and 3.2% is correctly calculated as 2.1%, considering rounding errors. The issue suggests the calculation is correct, but the rounding in the thesis is incorrect.
AI Summary: The task is to analyze a GitHub repository containing a compilation of alleged errors and plagiarism in a master's thesis. The analysis should focus on identifying the types of errors, their severity, and the overall implications for the thesis's validity and the author's academic integrity. Additionally, the task involves assessing the risk of the repository being used as ammunition against the involved parties.