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Record W6980440364

Catastrophic Michigan Tornadoes, 1950-1984

2025· article· en· W6980440364 on OpenAlexaboutno aff

Bibliographic record

VenueDigitalCommons - Kennesaw State University (Kennesaw State University) · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMeteorological Phenomena and Simulations
Canadian institutionsnot available
Fundersnot available
KeywordsTornadoDeath tollQuarter (Canadian coin)StormPoison control
DOInot available

Abstract

fetched live from OpenAlex

During the 35-year period from 1950 through 1984, 520 tornadoes were reported and confirmed in Michigan. Slightly less than one quarter of them killed a total of 234 people, injured 3,102, and caused hundreds of millions of dollars in property damage.' A violent tornado in Genesee County on June 8,1953, widely referred to since then as "The Flint Tornado," was responsible for 116 deaths, the greatest number of deaths by a single tornado in the entire United States that year. The worst in Michigan's history, the Flint Tornado death toll ranks fourth largest in the nation, by single tornadoes, for the 69 years from 1916 through 1984.2 It was exceeded only by the record-length Tri-State Tornado which devastated Missouri, Illinois, and Indiana in 1925 (689 deaths), the Tupelo (Mississippi) Tornado in 1936 (216 deaths), and the Woodward (Oklahoma) Tornado in Texas, Oklahoma, and Kansas in 1947 (169 deaths). Because of the Flint Tornado and an outbreak of killer tornadoes in April 1965, Michigan ranks third in the country, after Texas and Mississippi, for total number of tornadocaused deaths from 1953 through 1984. Nevertheless, it is the authors' contention that risk of injury or death by tornado in the state is not as high as the preceding might imply. Michigan's tornado history shows that even the densely populated southern third of the Lower Peninsula is at the margin of the United States Tornado Alley, the major tornado region extending northeastward from Texas

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.010
GPT teacher head0.175
Teacher spread0.165 · 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 teacher head, not a consensus.

Study designObservational
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
Published2025
Admission routes1
Has abstractyes

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