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Record W1607497893

Wolves in the Wild: Using Current Issues to Make Science Relevant.

2010· article· en· W1607497893 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Science Teacher · 2010
Typearticle
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsnot available
Fundersnot available
KeywordsFraming (construction)Science educationSociologyMathematics educationPsychologyEcologyGeographyBiology
DOInot available

Abstract

fetched live from OpenAlex

[ILLUSTRATION OMITTED] Although educators see science as a powerful way to understand the natural world, many students tend to see it as little more than a graduation requirement. As teachers, one of our most important responsibilities is to help students develop dynamic and useful views of science. Using current issues to create learning experiences can help generate student interest in science and help students appreciate its significance in both personal and societal contexts. The daily news, local paper, and internet provide an array of topics that can help bridge the gap between classroom science and students' personal lives. For example, last year's H1N1 outbreak can serve as the backdrop for exploring viruses and infectious diseases. A local point-source pollution site might segue into a lesson on chemical interactions. Natural disasters--brought on by earthquakes, tsunamis, and hurricanes--can be a great introduction to fluid dynamics and thermodynamics. Teachers can use these events to highlight the relevance of science and teach meaningful content. Over the past couple of years, I (Jennie Post) have been fascinated by news headlines related to gray wolves in Yellowstone National Park. I began reading articles about the issue almost daily, and when it came time to start an ecology unit for my 10th-grade Introductory Biology class, I knew I wanted to use the gray wolf dispute as a starting point. After doing some background research, I designed a jigsaw-style lesson plan that allowed students to grapple with important ecological content and appreciate the diverse perspectives framing this debate. This article presents the lesson I developed and tips for using this lesson in your classroom. The history of Yellowstone wolves In 1926, the last wild gray wolf was killed in Yellowstone National Park. After roaming the Great Plains for years, their reign ended abruptly at the hands of hunters and a vast government extermination plan (to protect elk and moose populations) (Outland 2010). Almost 50 years later, in 1973, the federal government passed the Endangered Species Act to protect native wildlife. Gray wolves were added to the list of protected species one year later--though few wolves remained to protect. It was not until 1995 that the U.S. Fish and Wildlife Service--with the help of scientists--reintroduced 14 Canadian gray wolves into Yellowstone (Johnson 2005). The reintroduction of gray wolves was met with great controversy. Many cattle ranchers were outraged about the release of predators onto neighboring lands. Environmentalists, on the other hand, celebrated the restoration of this keystone species to the natural ecosystem. The government declared that gray wolves would remain on the Endangered Species List--and therefore be protected from hunting--until the population reached stability (Frampton Jr. 1994). In March 2008, the wolves were removed from the Endangered Species List (i.e., delisted) by the U.S. Fish and Wildlife Service, but a lawsuit challenged the legitimacy of this action. By late September, gray wolves were again placed under federal protection--a move that generated additional debate and attention from the White House. The U.S. Fish and Wildlife Service then delisted gray wolves again in May 2009 (Conservation Northwest 2009), and wolf-hunting season opened later that year in several western states. In August 2010, a federal judge in Montana ruled to vacate the delisting of gray wolves, placing them back under the protection of the Endangered Species Act (Barringer 2010). The debate is ongoing, as some stakeholders continue to work toward changing current policy. Context for learning science I chose to use Yellowstone gray wolves in my Introductory Biology class as a means of exploring ecological interdependence, the role of keystone predators, and the impact of human activities on ecosystems. …

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.

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)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.820
Threshold uncertainty score0.931

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.087
GPT teacher head0.421
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