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Record W222229705

On-Line Graduate Bulletin Decision-Making Issues

2001· article· en· W222229705 on OpenAlexaboutno aff
Patricia M. Riches, Howard P. Parette

Bibliographic record

VenueCollege student journal · 2001
Typearticle
Languageen
FieldComputer Science
TopicWeb and Library Services
Canadian institutionsnot available
Fundersnot available
KeywordsThe InternetPopulationQuarter (Canadian coin)Medical educationHigher educationDistance educationPsychologyPublic relationsSociologyComputer scienceWorld Wide WebPolitical scienceMedicinePedagogy
DOInot available

Abstract

fetched live from OpenAlex

Graduate Schools are increasingly faced with issues related to disseminating timely information on the Interact regarding their programs. The graduate bulletin is a primary means of sharing information about and marketing graduate programs. This article describes issues encountered by a regional, comprehensive university that has chosen to make its graduate bulletin accessible in both PDF and HTML formats on-line. Particular emphasis is given to the decision-making concerns that institutions of higher learning must address when considering online options for a graduate bulletin. Specific software found to produce high quality on-line documents is described, along with suggestions for maintaining the integrity of the system. Recommendations and potential problems are noted based on experiences of the institution. ********** Internet usage by students in graduate schools has increased at a phenomenal rate for several years, presenting new challenges to institutions of higher learning (Hintze & Lehnus, 1998). Recent U.S. statistics indicate that more than five million Americans went online in the first quarter of 2000, or approximately 55,000 per day, 2289 per hour, and 38 per minute (Lebo, 2000). Approximately 3.2 million pages are added to the World Wide Web every 24 hours (Lebo, 2000). Among the most frequent uses of the Internet is information for business (Intelliquest, 2000). While usage is higher among highly educated individuals (Hintze & Lehnus, 1998), two thirds of the American population has some form of Internet access (Lebo, 2000). Additionally, the Internet is increasingly used as a venue for marketing educational information (Butler, 1995; Educational Directories Unlimited, 2001; Verity & Hof, 1994). Increasing usage of the Internet has placed considerable pressures on graduate schools to make information more accessible (Moxley, 2000). For example, using the search engine Yahoo[R], and simply typing in several key search words--graduate education and Internet--306,000 sites may be produced in the ensuing search results. Similar results are produced using other frequently used browsers (e.g., Hotbot[R], Google[TM], Excite[TM]). A random perusal of the many listings generated from this search suggests that most colleges and universities having graduate programs use the Internet to provide access to information about programs. Of particular importance to all graduate programs is the Graduate Bulletin, or document that presents information regarding programs, courses, and general information pertaining to graduate education for a particular institution. Though the Graduate Bulletin does not constitute a contract with students (see e.g., East Carolina University, 1999; University at Albany, 2000; University of Rochester, 2000), it is an important mechanism for marketing graduate programs (Educational Directories Unlimited, 2001). Long documents such as graduate bulletins pose unique challenges to institutions of higher learning with respect to information management. This is especially true when student prospects, decision-makers, clients, or other users are in remote locations, and problems emerge regarding browser (e.g., Internet Explorer, Netscape) usage and formats for documents [e.g., portable document format (PDF) (Adobe, 2000) vs. Hypertext Markup Language (HTML) (World Wide Web Consortium, 2001)]. Frequent changes in program curricula, policies and procedures, and other information typically printed in a graduate bulletin make the document outdated soon after a printing. Thus, the issue arises regarding how best to maintain an updated bulletin to ensure timely dissemination of information. Such issues were encountered at Southeast Missouri State University, a small regional, comprehensive university (n student enrollment = 8,951) serving a 26-county area in Missouri. At this institution, graduate enrollment (n = 1,192 in Fall, 2000) grew at an unprecedented rate during the past three years (> 50% enrollment change). …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.057
metaresearch head score (Gemma)0.193
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.080
Threshold uncertainty score0.301

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0570.193
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0070.005
Scholarly communication0.0220.016
Open science0.0060.007
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0800.036

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.031
GPT teacher head0.322
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

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