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Record W2580541385

Strategic Alignment: Recruiting Students in a Highly Decentralized Environment.

2016· article· en· W2580541385 on OpenAlexaboutno aff
Richard C. Levin

Bibliographic record

VenueCollege and university · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Learning Practices
Canadian institutionsnot available
Fundersnot available
KeywordsDowntownContext (archaeology)Higher educationEnrollment managementThe artsScope (computer science)SociologyPublic relationsPolitical scienceComputer scienceMedicine
DOInot available

Abstract

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All enrollment managers face some level of challenge related to decentralized decision making and operations. Policies and practices can vary considerably by academic area, creating administrative complexity, restricting the scope and speed of institutional initiatives, and limiting potential efficiencies. Central attempts to standardize or streamline these diverse processes may be unwelcome and perceived as counter to local interests. Identifying ways to manage these complexities-and even benefit from them-can be useful.This article will briefly introduce the structure of the University of Toronto as it relates to student recruitment. It will then look at specific challenges arising from this context, review strategy and initiatives to enhance recruitment, consider outcomes, and, finally, revisit the challenges in light of lessons learned.CONTEXTWith more than 85,000 students enrolled at its three campuses, the University of Toronto is Canadas largest university. Seven of the university's academic divisions offer a total ofyoo first-entry1 programs. Five of these are faculties on the St. George campus in downtown Toronto: Arts and Science (the university's largest academic division); Applied Science and Engineering; Kinesiology and Physical Education; Music; and Architecture and Landscape Design. The other two divisions are campuses rather than faculties: the University of Toronto Mississauga and the University of Toronto Scarborough. These two campuses currently enroll between 12,000 and 13,000 students each, and each offers predominantly arts and science programs. Nearly all of the university's undergraduate growth is expected to occur on these campuses. These and other faculties and schools at the university offer second-entry professional programs- graduate and undergraduate-and the university provides a wide range of doctoral programs.There is a considerable amount of both decentralization and asymmetry when it comes to student recruitment and admissions. The central Enrollment Services (es) department coordinates student recruitment, financial aid, and admission policy and services to the first-entry divisions. However, all first-entry divisions have their own student recruitment staff and may also have admission and financial aid staff; the Faculty of Applied Science and Engineering manages its own separate admissions function. Seven colleges2 are within the Faculty of Arts and Science, each with staff who have some involvement with admission and recruitment. And all divisional recruitment and admission staff have reporting relationships within their divisions (rather than centrally).The executive director of enrollment services also serves as university registrar.3 Unlike most of their U.S. counterparts, Canadian registrars usually have recruitment and admissions responsibilities. The University of Toronto has approximately z6 registrars or equivalents in its various academic divisions; all have some level of responsibility for recruitment and admissions for their division in addition to more traditional registrar-related duties. This is unique in Canada. Other institutions may have separate campus registrars and/or graduate registrars, but rarely are there registrars of other academic divisions.Enrollment Services employs approximately 70 staff for its recruitment, admissions, and financial aid operations; it processes nearly 70,000 applications per year, two-thirds of which are submitted by Ontario high school students. Enrollment Services also includes the Office of Student Recruitment, with approximately twelve staff plus student tour guides.The Office of Student Recruitment (osr) is responsible for managing a visitor center and running tours on the St. George campus; organizing open house events; producing the university viewbook and other recruitment publications; managing the prospective student web presence; conducting or attending school visits and fairs domestically and internationally; liaising with guidance counselors, and organizing the university's presence at a large prospective student fair held each year in Toronto (i. …

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)0.032
metaresearch head score (Gemma)0.032
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.032
Threshold uncertainty score0.168

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.032
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0150.007
Scholarly communication0.0150.008
Open science0.0020.017
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0110.005

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 head0.037
GPT teacher head0.305
Teacher spread0.268 · 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
GenreOther

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

Citations3
Published2016
Admission routes1
Has abstractyes

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