Using the Geology of Your Neighbourhood and City for Geoscience Outreach
Bibliographic record
Abstract
Most Canadians live, work and attend school in urban areas. Your neighbour-hood has wonders such as snow-bank stratigraphy, sidewalk sedimentology, and building stone. Urban fieldtrips require little money and little time to run and they can inspire participants. An inner-city school teacher confirmed my belief in urban fieldtrips when she said, “I’ve never been able to take my students anywhere but we can now take a city bus downtown and see the world. Thank You!” So open your eyes to the grand world of geology around you. Take others on a neighbourhood trip; you will inspire, motivate and educate them. SOMMAIRE La majorite des Canadiens vivent, travaillent et etudient en milieu urbain. Votre voisinage meme offre des occasions d’emerveillement comme des exemples de stratigraphie de bancs de neige, de sedimentologie des trottoirs, et de pierres de construction. Les excursions urbaines sont peu couteuses, prennent peu de temps et peu-vent s’averer stimulantes pour leurs participants. Une enseignante d’une ecole en milieu urbain a confirme mes idees sur les excursions urbaines lorsqu’elle a declare, « Je n’avais jamais pu sortir mes eleves, mais maintenant, nous pouvons prendre l’autobus et voir le monde, grâce a vous. » Soyez donc a l’affut de l’univers geologique qui pointe dans votre milieu. Amener les gens de votre entourage en excursion; vous les aurez interesses, motives et eduques.
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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) | 0.000 | 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".