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Record W2340010954

Canadian Post-Secondary Students' Evaluations of an Online Discussion Forum as a Course-Related Activity: Predictors of Perceived Interpersonal Benefits

2015· dissertation· en· W2340010954 on OpenAlexaboutno aff
Leah Breslow

Bibliographic record

VenueThe Atrium (University of Guelph) · 2015
Typedissertation
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyInterpersonal communicationOnline discussionCourse (navigation)Social psychologyComputer scienceWorld Wide WebEngineering
DOInot available

Abstract

fetched live from OpenAlex

Forming healthy relationships as a post-secondary student is an important factor in maintaining general well-being and academic success. The current study examined whether participating in a course-related e-forum was associated with participant self-ratings of improvements in their relationship effectiveness. 167 students at a Canadian university completed surveys about their e-forum participation and experience, social inhibition, and demographics. Participants also completed several open-ended questions about their online experiences and their perception of improvements in their effectiveness in offline relationships. Results indicated that a majority of participants found that participating in the e-forum (most significantly self-disclosing online) was beneficial in terms of perceived increases in relationship effectiveness offline. Further, feeling validated on the e-forum mediated the relation between e-forum participation and perceived increases in relationship effectiveness. Results are discussed in terms of the potential benefit of non-academic university-led supports to undergraduate students.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.340
Threshold uncertainty score0.684

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.019
GPT teacher head0.312
Teacher spread0.293 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2015
Admission routes1
Has abstractyes

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