Bibliographic record
Abstract
As one of the most constant propagators of Darwin's theory of evolution in our times, Richard Dawkins claims that we are the only species capable of cultural transmission of information in such a way that it can give rise to a form of evolution. This is how Dawkins introduces the meme as a unit of cultural transmission and as the agent of cultural evolution. The survival of the meme depends on its psychological appeal, and a new meme will replicate itself whenever favourable conditions arise. Any given diaspora makes for such a replication-inducing environment for the memes originating in the homeland. Commonly known as cultural traits, such memes can be found in diaspora literature. The aim of this article is to identify the memes that are described in the literature of Canadian authors of Serbian origin and compare that meme pool with typical Canadian values. Synchronic digraphia, 'inat,' and 'slava' are three uniquely Serbian units of culture that are explored in the cultural environment of Canada.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".