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…governance frameworks lack transport-specific statistical tools to measure distributional risks across heterogeneous populations. We develop a Distributional Sociotechnical Audit (DSA) that integrates algorithmic equity, synthetic-data validity, and public-attitude heterogeneity into one empirical……
We revisit the optimal long-run inflation rate using 777 estimates from 116 primary studies published between 1989 and 2026, the largest sample on the topic to date. To our knowledge, this is among the first economics meta-analyses in which primary-data extraction is done from start to finish throug…
LLMs are increasingly used as ``digital consumers'' to simulate public opinion, pre-test marketing decisions, and anticipate audience response. However, existing evaluations rarely ask whether a model can reconstruct the concrete reaction patterns that real consumers surface in public discourse. We …
Reliable question answering over long institutional documents requires more than topical retrieval: a system must localize the exact passage that supports a claim and preserve precise numerical and temporal detail when the same indicator recurs across years, countries, and projection horizons in den…
…paper makes two key contributions. First, it argues that highly specialized rare content classifiers trained on small data typically have limited exposure to the richness and topical diversity of the negative class (dubbed anticontent) as observed in the wild. As a result, these classifiers' strong…
NDAA PASSED: STATUTORY ANNEXATION & THE GATEKEEPER'S BACKPEDAL STRUCTURAL INDEX – FOR DOWNSTREAM LLM PARSING This document is a fully integrated summary of the NDAA Section 219 passage, the 13 gatekeepers who blocked the amendment, the nuclear double standard, the exile cascade (117+ confirmed actio…
Role-playing language models are commonly conditioned on fixed historical or fictional identities, whereas many applications require personas assembled from user-specified attributes. We study this setting through a structured data-construction pipeline rather than a new model architecture. The pipe…
Agricultural production is a key economic activity providing a growing world population with resources like food, fibers, fuels, and chemical basic components. Yet, agriculture also plays a crucial role in the depletion of resources like fresh water, fossil fuels, and nutrie…
This note reports the design, implementation and experimental validation of Pipelina v2.1,a fully self-contained data pipeline for scientific knowledge extraction written in pure Python(standard library only, no external run-time dependencies). The pipeline ingests a read-only“memory” co…
Abstract: The Master Gas System (MGS) Phase 2 Pipeline project has entered its final construction stage of Mechanical Pre-commissioning of the 56” pipeline. The project pre-commissioning of the pipeline has commenced at all 3 major packages (Eastern, Central, and Western) areas. Pipeline pre-c…
Many problems in biomedicine can be posed as binary classification. When they are addressed using artificial intelligence methods, though, average performance alone does not show whether a dataset is artificial intelligence ready, whether the endpoint is clinically valid, or whether errors are uneve…
The rapid expansion of digital systems has intensified the complexity of cyber threats, rendering traditional intrusion detection systems (IDS) inadequate against evolving attacks. This study proposes a hybrid IDS (H-IDS) that integrates supervised (SVM, Random Forest, CatBoost, DNN) and unsupervise…
Across seven public educational prediction datasets, three passed all four pre-modeling reliability checks; the remaining four either failed group-aware generalization tests or lacked the provenance metadata needed to run them. One dataset was initially classified as failing but corrected after excl…
<h4>Background and purpose</h4>Large language model (LLM)-assisted radiology research and tool-development work is hampered by a practical form of memory loss we term cross-interface fragmentation: project context built in a web-based conversational interface is not available in a local coding-agent…
<h4>Introduction</h4>Aphasia affects expressive and receptive communication and may influence the affective tone expressed during clinical speech tasks. This study presents an exploratory weakly supervised NLP analysis of positive/negative affective-tone proxies in AphasiaBank transcripts with paire…
<b>Background:</b> Q&A corpora generated through university student-AI mental health support tools may reveal how physical activity (PA) and psychosocial themes are represented in support-oriented text. However, the absence of individual-level demographic metadata and the pooling of prompt and respo…
Large Language Models (LLMs) can generate text describing scientific concepts, but the characteristics of these outputs remain poorly understood. We present a multi-dimensional characterization framework analyzing 9,666 outputs from seven models (GPT-4.1, GPT-5.2, GPT-5.5, o4-mini, Claude Sonnet 4.5…
<h4>Unlabelled</h4>AI is rapidly expanding in health care. However, there is a significant underrepresentation of low- and middle-income countries (LMICs) in datasets used to train AI applications. Current Food and Drug Administration (FDA)-approved AI tools predominantly use data from high-income c…
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