Navigating through the navy: a qualitative inquiry into Royal Canadian Navy culture
Bibliographic record
Abstract
This qualitative study aims to describe and understand the cultural identity of those in the Royal Canadian Navy.In this inquiry I use the autoethnography as a methodology, and in-depth interviews with members of the Royal Canadian Navy to understand the meaning of navy culture and its implications on the daily lives of its members.My analysis is shaped by the works of Hall (1996, 2000), Ellis &Bochner (2002), andBarker (2000).The participants answered a series of questions in an attempt to better understand what they perceived to be the most salient aspects of Royal Canadian Navy culture.They also expressed their thoughts on how the Royal Canadian Navy has shaped their identities and whether being a member of the Royal Canadian Navy has instilled a sense of belonging and recognition in their lives.My autoethnography recounts my experiences with the Royal Canadian Navy and how I interpreted its culture.I conclude with the implications the findings may have for future studies into Royal Canadian Navy culture such as gender issues and alcoholism.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".