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Record W2149778712 · doi:10.47678/cjhe.v43i2.2505

Perceptions of student affairs and services practitioners in Ontario’s post-secondary institutions: An examination of colleges and universities

2013· article· en· W2149778712 on OpenAlexaffvenueabout
Tricia A. Seifert, Jeff Burrow

Bibliographic record

VenueCanadian Journal of Higher Education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStudent affairsPortfolioOrganizational structureWork (physics)PerceptionHigher educationPublic relationsOrganizational culturePolitical sciencePsychologySociologyPedagogyBusinessEngineering

Abstract

fetched live from OpenAlex

Student affairs and services divisions and the partnerships and collaborations in which they engage with faculty, students, and the community form the structural centre of institutions’ approaches to student support. Although past research has identified areas typically associated with the student affairs and services portfolio and factors that influence the organizational structure, little is known about how staff perceive their institutions’ organizational structures relative to supporting student success. The purpose of this study was to understand student affairs and services staff members’ perceptions of the role organizational structure plays in their day-to-day work supporting student success in colleges and universities in Ontario. Although staff commented on their institutions’ formal organizational structures (referring to titles, reporting lines, and breadth of portfolio), their comments focused more specifically on how they saw the nature of their work and changes they have experienced in supporting student success as student bodies become more diverse.

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 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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.309
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.340
Teacher spread0.320 · 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 teacher head, not a consensus.

Study designObservational
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

Citations12
Published2013
Admission routes3
Has abstractyes

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