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Record W1485273892

Revitalizing Liberty: Creating a Train Station—Community Center—Business Incubator

2008· article· en· W1485273892 on OpenAlexaboutno aff
Magan M. Baxter

Bibliographic record

VenueRoger Williams University - Digital Commons (Roger Williams University) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsIncubatorCenter (category theory)BusinessOperations managementEngineering
DOInot available

Abstract

fetched live from OpenAlex

This project will include a train station located in the Town of Liberty, instating a light rail line that will connect Liberty to the Middletown Station (currently the closest train station at approximately 40 miles away), which is directly connected with New York City. The city of Middletown itself has plenty to offer, with a shopping mall and several department stores adjacent to station, although currently there isn’t a pedestrian path connecting the train station to anything; so this project will also provide pedestrian access to these amenities. The rail line will travel from Middletown to Liberty, with the possibility of following the old Ontario & Western route all the way to Oswego. One up and coming location in the area is Bethel (the town adjacent to Liberty), which is the site of the original 1969 Woodstock Festival and currently houses Bethel Woods Center for the Arts. The rail would provide access to this site as well; if not directly, at least to another means of public transportation that could take people to and from concerts and shows.

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)0.003
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.035
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.003
Scholarly communication0.0060.006
Open science0.0020.017
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0350.006

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 head0.028
GPT teacher head0.227
Teacher spread0.200 · 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
Published2008
Admission routes1
Has abstractyes

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