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Record W1996048695 · doi:10.1080/08865655.2013.796197

The Vermont–Québec Border Region: Negotiations of Identity and Logic in the Northeast Kingdom

2013· article· en· W1996048695 on OpenAlexvenueaboutno aff
Victoria M. Phaneuf

Bibliographic record

VenueJournal of Borderlands Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCross-Border Cooperation and Integration
Canadian institutionsnot available
FundersUniversity of Arizona
KeywordsSituatedNegotiationIdentity (music)CentralitySet (abstract data type)Political scienceGeographySociologyLaw

Abstract

fetched live from OpenAlex

This article investigates the diverse relations of local residents with the Vermont–Québec border. The research is situated in Vermont's Northeast Kingdom, a predominantly rural area with myriad ties to Québec. Certain local residents are set apart from other residents and individuals not residing in the border region by the centrality of the border to their personal identities and modes of action. They also understand the border and border-related activities using a different set of logics. This can lead to misunderstandings and tensions, particularly surrounding policy changes concerning border regulations. This article concludes that, while not recognized as an identity group, these individuals do indeed form a separate category with particular, shared characteristics that will be unequally impacted by future social and policy changes on the border. Though much has been written on borders in general, and US borders in particular, this area has been understudied and offers a specific set of characteristics of interest to border theory as a whole.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.235
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.059
GPT teacher head0.394
Teacher spread0.335 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations6
Published2013
Admission routes2
Has abstractyes

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