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Record W83523699

2008 Town of Long Island Comprehensive Plan

2008· article· en· W83523699 on OpenAlexaboutno aff
Long Island . Planning Board

Bibliographic record

VenueDigitalCommons (California Polytechnic State University) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicIsland Studies and Pacific Affairs
Canadian institutionsnot available
Fundersnot available
KeywordsPlan (archaeology)GeographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

1.2 A History of Long Island Over time, Long Island has shown many faces to the world: a remote self-sufficient fishing and farming community in the 1700s and 1800s; a summer playground for Portlanders in the late 1800s until World War I; site of a major Navy installation during World War II and into the 1950s; and the proposed site of a super tanker port in the 1960s and early 1970s.Today Long Island is a community of 900 people struggling to remain viable in the economic uncertainties of the 21st Century.About two hundred of those 900 people live year round on the island.Long Island is now one of 14 islands in Maine still supporting a year-round community.At the turn of the century, Maine had 300 such island communities. Long AgoClam shell heaps still contain bones of a species of giant beaver long since extinct, so we know they were among our early inhabitants.There is archaeological evidence that the Red Paint people were on Long Island (known as Smith's Island long ago), and we know that Native Americans were on our shores.Some lived here year-round, others only in the warm months.John Smith, that intrepid explorer and speculator, recorded a visit to Long Island on a map dated 1600 in the British Museum.Quite clearly the French visited the island, perhaps under duress, for they named the harbor facing seaside, Havre de Grace.The first European settler was John Sears from Boston in 1640.Very little is known of his goals, his activities, or the results. Public Meeting with Representative from the State Planning OfficeRuta Dzenis, AICP, Senior Planner with the State Planning Office Land Use Team, met with community members at a public meeting on Saturday, March 24, 2007.This meeting had been publicized with posters on the island, and 20 people attended.Ms. Dzenis gave a power point

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.616
Threshold uncertainty score0.548

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.000
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.6160.204

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 head0.231
Teacher spread0.203 · 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.

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
Published2008
Admission routes1
Has abstractyes

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