Bibliographic record
Abstract
In this paper I introduce the concept of the place meme, a ‘unit’ of cultural information about place. Place memes originate in the human brain. Place cells in the hippocampus convert short to long term memory through a repetitive ‘mapping’ of neural clusters, operating according to Edelman’s Theory of Neuron Group Selection (TNGS). I propose an analogous Theory of Toponymic Group Selection (TTGS) in which cultural selection produces first and second order clusters of named places externally constitutive of place memes. Using insights gained from research in northwestern British Columbia, eastern James Bay and Nunavik, Quebec, I examine real examples of culturally selected place memes by focusing on local heritage tourism initiatives. In conclusion I speculate about the role of place memes in indigenous senses of mental health and self, offering some reflection upon possible research directions opened up by a ‘memetics of place.’
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".