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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 OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.742
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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