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Record W4220716516 · doi:10.47678/cjhe.vi0.189137

An Analysis of Trends and Themes in Canadian Student Services Articles

2022· article· en· W4220716516 on OpenAlexaffvenueabout
Kathleen Clarke, Christine Arnold

Bibliographic record

VenueCanadian Journal of Higher Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsMemorial University of NewfoundlandWilfrid Laurier University
Fundersnot available
KeywordsStudent affairsContext (archaeology)Scope (computer science)Higher educationStudent engagementPedagogyPublic relationsSociologyPolitical scienceMedical educationPsychologyMedicine

Abstract

fetched live from OpenAlex

Student services professionals have emerged as significant supportive collaborators in the construction ofvenvironments that encourage student success within Canadian post-secondary education (Hardy-Cox & Strange, 2010). In Canada, literature pertaining to student services is evolving and research from other contexts is therefore often used to inform student affairs practices in this context. Yet, without a comprehensive understanding of research that is focused on Canadian student services specifically, those working in post-secondary education are left with a scope of understanding that may not always apply to the unique contexts in which they work. The purpose of this research study is to begin mapping the landscape of re-search on Canadian student services. We review articles pertaining to student success, the student experience, and student services, that have been published in national (Canadian Journal of Higher Education) and international (Journal of College Student Development; Journal of College Student Retention: Research, Theory and Practice; Journal of College Student Psychotherapy; Journal of Student Affairs Research and Practice; and Student Success) student services and post-secondary education journals. This scoping review documents Canadian academic research published within the student services field and describes contributing authors and their affiliations, graduate student and post-doctoral fellow involvement, provincial and territorial research clusters, research movements over the decades, institutional research contexts, and research participants’ level of education and communities/populations, as well as contextual trends and themes.

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)0.001
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 score0.263
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.025
GPT teacher head0.366
Teacher spread0.341 · 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

Citations2
Published2022
Admission routes3
Has abstractyes

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