1,720,953 research outputs found
Degree_industry_enrollment_readiness_with_students_at_risk
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Degree vs Destiny: Mapping the Gap Between Academic Training and the AI-Integrated Job Market
Project Overview
This project analyzes how well Texas bachelor’s degree programs prepare students for an AI-driven workforce.
We used public datasets and a deterministic, rules-based Python pipeline to identify students at risk of
graduating into high-exposure occupations without AI curriculum support.
Objectives:
Identify students enrolled in high-exposure programs at universities lacking AI integration.
Highlight gaps in university readiness for AI-driven labor market changes.
Provide actionable insights for universities, advisors, and policymakers.
Datasets
Source
Data Used
Purpose
Census PSEO
Bachelor’s program records, median earnings (1- and 5-year), post-graduation industry flows
Map degrees to workforce outcomes
NCES 2020 CIP–SOC Crosswalk
CIP codes linked to SOC occupations
Translate academic majors into likely careers
O*NET
Occupation-level AI Exposure Scores (0–10)
Measure automation risk for each occupation
THECB Enrollment Data
2025 enrollment counts for 10 major Texas public universities
Count students per program
Manual Readiness Audit
Review of 2025–2026 course catalogs
Label programs as READY or NOT READY for AI curriculum
Methodology
All analysis was deterministic and rules-based using Python (Pandas). No machine learning was used.
Data Standardization: Filtered bachelor’s programs and standardized CIP codes.
Degree-to-Occupation Mapping: Linked each major to its primary occupation via the NCES crosswalk.
AI Exposure Assignment: Merged O*NET AI Exposure Scores for each occupation.
Risk Classification: Occupations with AI exposure ≥ 6.5 labeled High Exposure.
Enrollment Integration: Added THECB enrollment counts per program.
Curriculum Readiness Audit: Programs labeled READY if AI coursework or certificates exist,
otherwise NOT READY.
Final Metric – Students at Risk: Students in programs where AI Exposure ≥ 6.5 and
Institutional Status = NOT READY.
Results
At Risk Students: ~33,000 students (19.4% of the sample) are in high-exposure programs at Not Ready institutions.
AI Exposure Distribution: Scores range from 2 to 9, mean ~5.7. High exposure is concentrated in Business, Communication, and Liberal Arts majors.
Key Findings
Readiness Divide: Tier 1 universities like UT Austin and Texas A&M have integrated AI literacy, while others remain unprepared.
Critical Risk at TXST and SHSU: High enrollment in high-exposure programs without AI curriculum.
Structural Misalignment: Degree programs are still oriented toward the 2020 labor market, leaving students unprepared for AI-driven 2026 workflows.
Implications
Universities should integrate AI literacy and practical AI tools across high-exposure majors.
Institutional leaders can use at-risk counts to prioritize AI coursework and curriculum updates.
Academic advisors can guide students toward complementary skills, minors, or micro-credentials.
Policymakers can target support toward institutions with the largest gaps between AI exposure and curriculum readiness.
Files
Dataset – Final merged dataset used for analysis
data_dictionary.tab – Definitions and descriptions of all variables in the dataset
Mapping the Gap Between Academic Training and the AI Integrated Job Market – Project poster
README.md – This file
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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