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Record W7068493847

[no title]

2022· other· en· W7068493847 on OpenAlexaboutno aff

Bibliographic record

VenueDirectory of Open access Books (OAPEN Foundation) · 2022
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGene expression and cancer classification
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyPosition (finance)Period (music)MicrohistoryMinor (academic)
DOInot available

Abstract

fetched live from OpenAlex

Neighbours and Networks explores the economic relationship that existed between the Blood Indian reserve and the surrounding region of southern Alberta between 1884 and 1939. The Blood tribe, though living on a reserve, refused to become economically isolated from the larger community and indeed became significant contributors to the economy of the area. Their land base was important to the ranching industry. Their products, especially coal and hay, were sought after by settlers, and the Bloods were encouraged not only to provide them as needed, but also to become expert freighters, transporting goods from the reserve for non-Native business people. Blood field labour in the Raymond area's sugar beet fields was at times critical to the functioning of that industry. In addition, the Bloods' ties to the merchant community, especially in Cardston and Fort Macleod, resulted in a significant infusion of money into the local economy. Keith Regular's study fills the gap left by Canadian historiography that has largely ignored the economic associations between Natives and non-Natives living in a common environment. His microhistory refutes the perception that Native reserves have played only a minor role in regional development, and provides an excellent example of a cross-cultural, co-operative economic relationship in the post-treaty period on the Canadian plains.

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), Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.286
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0060.005
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0510.000

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 head0.067
GPT teacher head0.407
Teacher spread0.341 · 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 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueDirectory of Open access Books (OAPEN Foundation)Same topicGene expression and cancer classificationFrench-language works237,207