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Record W2993301232

Co-Articulating the Value of a Liberal Arts Degree with Students.

2012· article· en· W2993301232 on OpenAlexaboutno aff
Pamela Cushing

Bibliographic record

VenueCollege and university · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsnot available
Fundersnot available
KeywordsLiberal arts educationValue (mathematics)The artsWitnessHigher educationSociologyLiberal educationDegree (music)Public relationsPedagogyPolitical scienceMathematics educationPsychologyLawComputer science
DOInot available

Abstract

fetched live from OpenAlex

While most scholars and higher education professionals believe in the intrinsic value of a liberal arts degree, high school students and their parents often have a different bias as they seek to determine where to invest themselves and their resources. Anyone who has taught in or recruited for the social sciences or humanities will recognize the familiar pattern of eager interest in engaging, challenging topics followed by that unsettled look as the prospective student asks, what could I actually do with this degree? It is a fair question. If we believe in the value of a liberal arts degree, we ought to be able to explain why we do. This article is about how we are collaborating with faculty, the registrar, and the alumni office - as well as alumni themselves - to better answer the question. THE SCHOOL AND THE PROGRAM Our university has a network of (recent graduates) hired to tour high schools across Ontario; the job of the liaisons is to share what makes our liberal arts degree distinct. We are one of three affiliate campuses to a large researchintensive university, and our enrollment is 3,500 full-time undergraduates. The affiliates increasingly are being invited to develop complimentary (non-duplicate) offerings since students can take courses at any campus. Our interdisciplinary program has thrived by providing a distinct worldview for students interested in making a difference and understanding more about the social injustices they witness and read about. In just nine years, the program has grown: we have several full-time faculty and sessional instructors; we teach roughly 200 introductory students each year and offer many core courses, electives and a series of local and international experiential learning opportunities. Yet we were confronted by four significant challenges: * Retention: Could we raise retention in majors/honours modules above the usual 20-25 percent of the first year class ? * Recruitment: How might we better convert high school students' interest and enthusiasm during informational visits into enrollments? * Understanding students: How could we achieve greater clarity around the diversity of our students' interests and futures ? * Vocational Support: Could we identify better ways to support current students and recent graduates who are uncertain how to translate their degrees into vocations and paid positions ? Although the current generation of college entrants tends to be characterized by educational uncertainty and prolonged adolescence, these characteristics tell us little about students' uncertainty about our program in particular. On the other hand, students' genuine concern about the value of the degree - particularly in relation to discerning a career - is a common barrier to choosing (or remaining in) the program. This concern pervades many of our discussions with high school students and parents during welcome days, recruiting events, and the registration period. Our sense was that seniors in the program in fact were faring well compared to their peers in other departments. Many were being awarded internal and external scholarships and grants, and many were using their degrees in impressive ways. But our knowledge about such things was largely anecdotal and was dispersed widely among professors; evidence existed primarily in the form of e-mails and phone conversations. We decided that we owed students a better answer. PROJECT GOALS It was important for us to identify overall as well as division-specific project goals. (Clarity of purpose helps to ensure that a diverse working group makes progress.) We are fortunate to have an innovative registrar with a reputation for openness to student and faculty initiatives. Given the different responsibilities of professors, registrars, and alumni officers, we believed it would be beneficial to clearly state the unifyinggoals of our project as well as distinct, role-specific benefits and objectives. …

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)0.018
metaresearch head score (Gemma)0.034
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.034
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0250.026
Scholarly communication0.0250.010
Open science0.0010.026
Research integrity0.0040.014
Insufficient payload (model declined to judge)0.0070.002

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 head0.045
GPT teacher head0.289
Teacher spread0.245 · 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 designQualitative
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
Published2012
Admission routes1
Has abstractyes

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