Bibliographic record
Abstract
Anxiety is defined by excessive worry over a prolonged period of time. Some common symptoms of anxiety include restlessness, fatigue, difficulty concentrating, muscle tension, and sleep disturbance (American Psychiatric Association, 2013). Many post-secondary students experience anxiety, which can be either a helpful or harmful stimulus. The literature suggests that there are many specific factors within the learning environment that can contribute to student anxiety, but the general topic requires further investigation. This project uses a grounded theory approach with mixed-methodology to better understand factors that affect student anxiety within the learning environment. Quantitative data were collected using the Hospital Anxiety and Depression scale (HADS) to describe our sample population (Bjelland, Dahl, Haug, Neckelmann, 2002). Qualitative data were collected through virtual focus groups. Participants were undergraduate nursing students at MacEwan University (N anticipated = 34). Data collection occurred in three phases, focusing on model development and validation. Our findings contributed to creating a conceptual framework to illustrate the impact of nursing student anxiety within the learning environment. Several themes have emerged over the first two phases of the project. Themes specific to the context of psychology were self-efficacy, self-worth and self-esteem. Some critical elements that impact student anxiety were related to instructor attributes and behaviour, peer relationships, social determinants of health, and COVID-19. Specific to the theme of COVID-19 were feelings of being overwhelmed, isolation, and decreased motivation. Participants also identified that the boundaries that previously maintained a distinction between school, home, and work had been blurred. This project has been a wonderful partnership looking at the same complex phenomena from a psychology and nursing lens. References: Bjelland,, I., Dahl, A., Haug T., Neckelmann, D. (2002). The validity of the Hospital Anxiety and Depression Scale an updated literature review. Journal of Psychosomatic Research, 52(2),69-77. https://doi.org/10.1016/S0022-3999(01)00296-3 American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). https://doi.org/10.1176/appi.books.9780890425596 Department: Psychology Faculty Mentors: Dr. Lisa McKendrick-Calder, Dr. Cheryl Pollard, Tanya Heuver, Christine Shumka
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".