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Record W3156248138 · doi:10.24908/iqurcp.9888

13. Conservation Education in the Kingston Classroom

2018· article· en· W3156248138 on OpenAlexvenueaboutno aff
Courtney Primeau, Drew Sauve, Hava Starkman, Vincent Zengus

Bibliographic record

VenueInquiry Queen s Undergraduate Research Conference Proceedings · 2018
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumUnit (ring theory)Work (physics)Subject (documents)Plan (archaeology)Political scienceEngineering ethicsMathematics educationSociologyPedagogyEngineeringComputer sciencePsychologyGeographyLibrary science

Abstract

fetched live from OpenAlex

In order to sustain and improve global and local conservation efforts, each incoming generation must become informed and active within the conservation field. If education surrounding conservation can be improved and preserved, the importance of maintaining an intact natural world will be better understood and passed on. We hope to address this issue through examination of the current state of subject material surrounding conservation biology in the Limestone District School Board (LDSB) in Kingston, Ontario. Material in eachgrade will be analyzed and a report on the current state of environmental and conservation education will be prepared. We also hope to gather expert opinions on the questions relating to: what grade level conservation education will make the largest impact on and the current pressing issues in conservation biology. These expert opinions will be gathered from both researchers and educators here at Queens as well as teachers and administration in the school board. We hope to compile all information gathered, to then prepare five lessons for a conservation biology science unit. We hope to work in a classroom to teach one of these prepared unit lessons and get feedback on the lesson from both teachers and students.From all the information gathered we hope to provide a plan for improvement on the overall conservation curriculum in addition to designing a specific unit of conservation biology for elementary school students. The report will also examine the process of implementing curriculum into a school system, providing a tool for other conservation biologists who are inclined to improve the education system.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.158
GPT teacher head0.435
Teacher spread0.277 · 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 designTheoretical or conceptual
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
Published2018
Admission routes2
Has abstractyes

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