Student Affairs: Experiencing Higher Education
Bibliographic record
Abstract
Foreword / Neil Guppy Acknowledgments Introduction: Today's Post-Secondary Students -- Adding Faces to Numbers / Lesley Andres 1. Equity in Access and Outcomes: Succeeding along the Science Pipeline / Maria Adamuti-Trache 2. It's No Five O'Clock World: The Lived Experience of Re/entering Mothers in Nursing Education / Sharon Liversidge 3. A Tunnel of Hope: The Experiences of Student Mothers Attending a Community-College-Based Developmental Studies Program / Donna McGee Thompson 4. Visitors in the Classroom: The Academic Experiences of Students Who Are Hard of Hearing / Ruth Warick 5. Disciplinary Affiliation and the Experience of Community among Undergraduate Students / Colleen Hawkey 6. Co-op Education: Access to Benefits or Benefits to Access? / Garnet Grosjean 7. The Four Rs Revisited: Some Reflections on First Nations and Higher Education / Michael Marker 8. Welcome to Canada? The Experiences of International Graduate Students at University / Regina Lyakhovetska 9. The Transition from High School to Post-High-School Life: Views of the Class of '88 / Gabriel Pillay Conclusion: From Research to Action / Finola Finlay Contributors Index
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 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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.082 | 0.017 |
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".