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Record W4396223260 · doi:10.30688/janzssa.2024-1-06

College Faculty and Student Affairs Staff Interactions with Parents of Students

2024· report· en· W4396223260 on OpenAlexaffabout
JoAnne Sparks

Bibliographic record

Venuenot available
Typereport
Languageen
FieldSocial Sciences
TopicHigher Education Research Studies
Canadian institutionsInstitute for Christian StudiesUniversity of Toronto
Fundersnot available
KeywordsStudent affairsPsychologyMedical educationLiberal arts educationHigher educationPedagogyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

On college campuses today, student services staff (administrators and support staff) and faculty members are not only interacting with students but also with their parents. College employee interactions with prospective students and their parents may be common during information sessions and open houses. However, outside of the recruitment season, less is known about the experiences of student affairs staff and faculty who interact with parents. Through semi-structured interviews, this study examined employees’ interactions with parents of students at four colleges of applied arts and technology in Ontario, Canada. Of the interviewees, nine faculty members and 11 student affairs staff (non-academic employees) described interacting with parents. The analysis of the interviews revealed several themes. These included college employees’ interactions with parents regarding students’ program choice and educational decision making, academic challenges, and support services. Professional practices that serve parents (and other supporters) could contribute to institutional goals, including post-secondary student persistence. This study’s research findings may inform student affairs practice and inspire new ways to support students’ college journeys in cooperation with parents and family members.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.552
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.082
GPT teacher head0.517
Teacher spread0.435 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2024
Admission routes2
Has abstractyes

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