Speech Act of Condolence to Queen Elizabeth’s Death
Bibliographic record
Abstract
This study discussed condolence speech acts used by the Canadians for the death of Queen Elizabeth. This study aimed to find out the types and identify the intentions of condolence made by the Canadians to Queen Elizabeth. This study employed a qualitative approach with content analysis using Kuang’s framework and Kreidler’s framework. The data were taken from government website of Canada. Data collection used documentary analysis method which was carried out through four stages based on the theory of Miles et al., namely: data collection, data condensation, data display, and drawing conclusions. The results showed that there are four types of condolence used by the Canadians, namely expressing sympathy and eulogy at the same time, eulogy for the deceased, expressing sympathy, and expressing wishful thinking. In addition, the researcher also found four variations of condolence based on analysis derived from Kuang’s (2015), namely variations of expressing sympathy, variations of expressing wishful thinking, variations of eulogy for the deceased, and variations of expressing sympathy and eulogy at the same time.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".