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Record W4396884251 · doi:10.46328/ijres.3392

First Year Students’ Perceptions of the Transition to University: The Role of Informational, Instrumental, and Emotional Support

2024· article· en· W4396884251 on OpenAlexaff
Mehak Stokoe, David Nordstokke, Gabrielle Wilcox

Bibliographic record

VenueInternational Journal of Research in Education and Science · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychologyTransition (genetics)PerceptionHigher educationDevelopmental psychologyMathematics educationSocial psychology

Abstract

fetched live from OpenAlex

As students transition from high school to university, they must navigate new academic learning environments, develop new social networks, manage multiple new responsibilities, explore and regulate independence, and deal with the stressors that they will encounter. Successful transitioning to university often involves sources of support as well as internal resources. The current study aimed to understand supports and challenges of first year undergraduate students in their transition to university. A total of 66 first year undergraduate students participated in this study. Participants answered four open-ended questions about supports and personal factors during their transition to university. Data were analyzed using thematic analysis and codes were systematically generated across the dataset. Themes were identified once coding was complete. The four themes that emerged were informational, instrumental, and emotional supports, and internal resources. Students transitioning to university may benefit from transition programs and resilience modeling to facilitate a successful transition.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.281
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.030
GPT teacher head0.453
Teacher spread0.422 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations8
Published2024
Admission routes1
Has abstractyes

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