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Record W2925309034 · doi:10.5430/jct.v8n2p1

The Curriculum and Community Enterprise for Restoration Science Partnership Model

2019· article· en· W2925309034 on OpenAlexvenueno aff
Lauren Birney, D. McNamara, Brian Evans, Nancy Fúgate Woods, Jonathan Hill

Bibliographic record

VenueJournal of Curriculum and Teaching · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsnot available
Fundersnot available
KeywordsGeneral partnershipStewardship (theology)Public relationsCurriculumEnvironmental stewardshipBusinessEngineering ethicsPolitical scienceKnowledge managementSociologyEngineeringEnvironmental resource managementPedagogyComputer science

Abstract

fetched live from OpenAlex

This paper identifies the complex interactions of a multi-member partnership and outlines the synergetic opportunitiesand challenges within the model. At the core of the partnership model is the restoration of the waterways surroundingNew York City through the reestablishment of the oyster into New York Harbor. The overarching goal was to connectmembers of the community to their environment to increase social awareness and responsibility. Stewardship of theharbor through involvement of education, business, and private sectors increased the citizen science involvement of thecommunity. The key to the success of this partnership model is the overlapping of roles and responsibilities as well asa strong “connector” serving to mediate the interactions among the stakeholders and enable the success of thepartnership. The partnerships were dynamic and evolving blurring lines and responsibilities. Serendipitous outcomesenhanced partnership relationships and in turn, the efficacy of the project.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
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 head0.029
GPT teacher head0.340
Teacher spread0.311 · 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.

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

Citations2
Published2019
Admission routes1
Has abstractyes

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