Bibliographic record
Abstract
Personal identity is an important theme that often comes up in therapeutic endeavours, especially in societies that are saturated with free market capitalism and mass media culture. I begin the thesis by describing a foundational ethos that guides my practice as a counsellor. I then describe a process of therapeutic engagement that I call therapeutic soul searching and suggest how it can be applied to working with the theme of personal identity. For this purpose, I outline the ideas that have inspired my views on the craft of counselling. These ideas come from a variety of voices from differing fields, including the practice of counselling, and the world of art and literature. I explain how our modern-day culture industry impacts stories of personal identity. After outlining my foundational beliefs, I then provide an overview of some therapeutic possibilities that have been inspired by the narrative metaphor tradition and spiritual-based therapeutic traditions. I explain why these two therapeutic traditions work well with struggles relating to personal identity. Lastly, I suggest that further research and literature needs to focus on how personal identity differs across Canada's multicultural spectrum.
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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.020 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".