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Record W2991766552

The Meeting of Two Border Worlds: How the Maine-Canada and Texas-Mexico Borders Met in 1920

2013· article· en· W2991766552 on OpenAlexaboutno aff
Carla Mendiola

Bibliographic record

VenueDigitalCommons (California Polytechnic State University) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
FundersCollege of Engineering, Michigan State UniversityUniversity of CambridgeArcadia FundMichigan State UniversityYale University
KeywordsGeographyPolitical science
DOInot available

Abstract

fetched live from OpenAlex

This study follows two families living on the Maine and Texas borders in order to explore how seemingly different border communities shared much in common as they developed in the broader context of the late nineteenth to early twentieth centuries. A brief background history of the two border areas and families is followed by a more detailed look, beginning with a comparison of the conflicts that finalized the borderlines of each state, and ending with a description of the key factors involved in hybrid-culture formation on these borders. The family vignettes offer a window onto examples of how community members were affected by, reacted to, or participated in some of these broader events. There were similarities and differences between both areas – in terms of the border dynamics, the development of the two communities, and their distinct hybrid cultures – and both border areas evolved in a similar way. The author is a History doctoral candidate at Southern Methodist University in Dallas, 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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.440

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0380.011
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.208
Teacher spread0.199 · 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
Published2013
Admission routes1
Has abstractyes

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