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Record W2564217492

Employer Perceptions of Co-curricular Engagement and the Co-curricular Record in the Hiring Process

2014· dissertation· en· W2564217492 on OpenAlex
Laura Kimberly Elias

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueTSpace (University of Toronto) · 2014
Typedissertation
Languageen
FieldSocial Sciences
TopicHigher Education and Employability
Canadian institutionsnot available
Fundersnot available
KeywordsProcess (computing)PerceptionCurriculumPolitical sciencePedagogyBusinessMedical educationPsychologyMathematics educationComputer scienceMedicine
DOInot available

Abstract

fetched live from OpenAlex

Throughout media channels, there have been concerns about a perceived job skills gap, which in turn have led to questions about the value of a university education. Canadian universities and colleges have developed the Co-Curricular Record (CCR) as a means to incentivize and recognize student engagement in co-curricular opportunities, which research has shown to positively impact student development, retention, and success (Astin, 1993; Chickering, 1969; Tinto, 1987). This study surveyed employers to explore current hiring practices, including the current value of candidate materials and hiring factors, desirable soft skills, and the perceived value of the CCR. This thesis explores the potential use of the CCR in the hiring process, and argues that the CCR can act as a translation tool, by elevating the value of co-curricular experiences in developing and articulating soft skills. This thesis also discusses current challenges and provides a series of recommendations and next steps.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.022
GPT teacher head0.339
Teacher spread0.317 · 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