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Record W6984896460

[no title]

2021· other· en· W6984896460 on OpenAlexaboutno aff

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2021
Typeother
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsAppealSettlement (finance)CliffTourismScholarshipExcavation
DOInot available

Abstract

fetched live from OpenAlex

At the place known as Head-Smashed-In in southwestern Alberta, Aboriginal people practiced a form of group hunting for nearly 6,000 years before European contact. The large communal bison traps of the Plains were the single greatest food-getting method ever developed in human history. Hunters, working with their knowledge of the land and of buffalo behaviour, drove their quarry over a cliff and into wooden corrals. The rest of the group butchered the kill in the camp below. Author Jack Brink, who devoted 25 years of his career to “The Jump,” has chronicled the cunning, danger, and triumph in the mass buffalo hunts and the culture they supported. He also recounts the excavation of the site and the development of the Head-Smashed-In Buffalo Jump Interpretive Centre, which has hosted 2 million visitors since it opened in 1987. Brink’s masterful blend of scholarship and public appeal is rare in any discipline, but especially in North American pre-contact archaeology. Brink attests, “I love the story that lies behind the jump—the events and planning that went into making the whole event work. I continue to learn more about the complex interaction between people, bison and the environment, and I continue to be impressed with how the ancient hunters pulled off these astonishing kills.”

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.419
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0040.003
Open science0.0060.005
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.4320.012

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 head0.176
GPT teacher head0.358
Teacher spread0.182 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueDirectory of Open access Books (OAPEN Foundation)Same topicDiverse Scientific and Economic StudiesFrench-language works237,207