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Record W3208771521

Observation Assignment for Recreation and Sport Studies

2010· article· en· W3208771521 on OpenAlexaff
Fred Mason

Bibliographic record

VenueTRAILS: Teaching Resources and Innovations Library for Sociology · 2010
Typearticle
Languageen
FieldHealth Professions
TopicPhysical Education and Pedagogy
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsBachelorClass (philosophy)RecreationEvent (particle physics)Perspective (graphical)KinesiologyMathematics educationSociologyPsychologyPedagogyVisual artsMedical educationComputer scienceHistoryPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Description: RSS 2023 is an introductory level course in the sociology of sport and physical activity. The class generally averages about 150 students, and the majority of students taking this course are enrolled in the Bachelor of Science in Kinesiology program at the University of New Brunswick. For many, this will be among the very few, or even the only class they will take that offers a socio-cultural perspective of any sort. As such, the main goal of the class is to enable students to develop some inkling of a sociological imagination, with sport and physical activity as the topics under discussion. This out-of class paper assignment is designed to give students an opportunity to practically apply knowledge developed in the course, and to use a critical sociological perspective to analyze a real-world event. Students attend and make observations about a sporting event or some sort of organized physical activity in which they have interest. University varsity sports are popular due to ease of access, but the level of activities observed have ranged from top level professional sports events, to university and high school intramurals, to micro level (under 4 years of age) soccer. Tailoring to their own interests, some students have also observed charity fun runs, aqua-size classes and creative dance shows. Students focus their observations on, and ultimately write a 5-6 page paper about major social issues apparent at the activity/event. Initially, students could choose from among a range of course topics and themes to write about, which produced some creative and critical writing among the best students. Many others struggled however, over deciding what sort of social issues to even begin with. Thus, the assignment has been modified over time to concentrate on four major course topics/issues: gender, race, social class and commercialization. This enables all students to focus on relevant social concerns and apply course materials, while still allowing more advanced critical observation from students who are more sociologically inclined.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.797
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.165
GPT teacher head0.468
Teacher spread0.303 · 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
Published2010
Admission routes1
Has abstractyes

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