Motivation and the 40-hour community involvement program: Their relationship to identity status in first year university students
Bibliographic record
Abstract
Purpose: The purpose of this dissertation was to investigate the relationship between motivation and identity status in first year university students through examining their participation in the Ontario secondary school community involvement program. This document consists of three separate, but related studies: a scoping review, a mixed-methods research study, and a document review. \nMethods: The scoping review was completed using the methodology outlined by Arskey and O’Malley (2005). The Mixed-methods research was conducted using an embedded mixed methods approach. The quantitative aspect was approached from a cross-sectional, descriptive design, with the qualitative component being addressed from a phenomenological perspective. The document review was completed using Bacchi’s (2009) ‘What is the problem represented to be?’ framework for policy analysis.\nResults: Cumulatively, the results of this work suggested a lack of connection between motivation toward the community involvement program and identity status in first year university students. However, nearly 50 percent of the first year students were found to be in the identity diffusion stage, regardless of degree program. \nConclusions: This work showed no relationship between motivation and identity status, and highlights the lack of contribution of the community involvement program to identity status in first year university students. The high percentage of students in the diffusion status has implications at the high school level in terms of the program’s implementation and at the university level in regards to increasing the students’ awareness of skill development in areas of critical thinking and analysis and how these skills translate into future careers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".