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Record W90656020 · doi:10.20361/g28p5x

Cryptic Canada: Unsolved Mysteries from Coast to Coast by N. Hyde

2014· article· en· W90656020 on OpenAlexvenueaboutno aff
Sandy Campbell

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2014
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeology and ancient environmental studies
Canadian institutionsnot available
Fundersnot available
KeywordsTreasurePseudoscienceRealmHistoryArchaeologyExcavation

Abstract

fetched live from OpenAlex

Hyde, Natalie. Cryptic Canada: Unsolved Mysteries from Coast to Coast. Toronto, ON: Owlkids Books, 2012. Print.Many of the ‘unsolved mysteries’ in Cryptic Canada are not mysteries. Most of the chapters are about well-known archaeological or historic sites where there are always more questions to be asked but their main mysteries have been solved. Others fall into the realm of pseudoscience. The ‘mysteries’ presented are: the Oak Island Buried Treasure, the ice mummies of Sir John Franklin’s crew on Beechey Island, L’Anse aux Meadows, the tunnels under Moose Jaw, The Freemasons in Winnipeg, ships sunk in the Great Lakes and the Majorville Stone Circle. The authority of the content of this book is highly variable. For most of the chapters, the facts are well-known, and the material is presented factually. For example, The Great Lakes Triangle, where many ships have ‘disappeared’, is known to have very bad storms and magnetic anomalies that disrupt navigation equipment. The only mystery is the location of the sunken ships. Often the stories are supported by a question and answer with an expert. In the case of the Beechey Island ice mummies, the expert is Dr. Owen Beattie, the distinguished anthropologist who led the excavation. For the Tunnels of Moose Jaw, the expert is the cast director for a group that does re-enactments of the illegal alcohol operations during the Prohibition period. We are not told if that person is an historian. The most disconcerting of the mysteries presented is that of ‘Canada’s Stonehenge’, correctly known as the Majorville Medicine Wheel or by its Siksika name, Omahkiyaahkohtoohp. Hyde presents this as a celestial calendar. Medicine wheels are Indigenous ceremonial structures. They are quite common in Alberta, some of them built in the past century. These “modern Blood Indian structures were built to commemorate the death place of, or the last tipi occupied by, a famous warrior”1 and are unrelated to calendars. The Royal Alberta Museum cites two astronomers who point out that Indigenous prairie people probably timed their ceremonies simply by observing the night sky and would have had no need for a celestial calendar. This book is colourful and nicely designed. Background colours and textures vary and text boxes overlay images. Both Matt Hammill’s cartoon drawings and modern and archival photographs are used to illustrate the text and tell the stories. The text succinctly captures the main concepts of each history/mystery and the language is appropriate to the upper elementary target audience.While this work can be viewed as just a harmless bit of fun, it may be a child’s first introduction to these histories. With the unfortunate distortion of the stories to emphasize as mystery, things which are not mysterious at all, and the unevenness of the authority of some of its resources, this book would be a good choice only as an alternative for libraries that already have authoritative historical texts. “What is a medicine wheel?” Royal Alberta Museum, 2013 http://www.royalalbertamuseum.ca/research/culturalStudies/archaeology/faq.cfmRecommended with Reservations: 2 stars out of 4 Reviewer: Sandy CampbellSandy is a Health Sciences Librarian at the University of Alberta, who has written hundreds of book reviews across many disciplines. Sandy thinks that sharing books with children is one of the greatest gifts anyone can give.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.157
Threshold uncertainty score0.317

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0070.003
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0520.017

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.

Opus teacher head0.003
GPT teacher head0.175
Teacher spread0.171 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2014
Admission routes2
Has abstractyes

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