Bibliographic record
Abstract
周知のように,アメリカにおける各大学の体育関連学部・学科は,財政悪化による逼迫した予算状況の中で縮小,再編,衰退の危機に直面し,生き残りをかけて抜本的な改革に乗り出しているのが現状である。例えば,過去数10年間に亘って代表的な体育学部・学科として全米をリードしてきた代表的な諸大学の一部は,単独の学部・学科としては存続できないまでに衰退を余儀なくされており,この傾向は西海岸地域に特に顕著である。大規模性と多様性を特徴にもつアメリカ各大学における体育関連学部・学科・専攻の改革の全容を概観することは困難であるので,本小論では,特に改革・再編の顕著な数大学を取り上げ,アメリカ・カナダを含む北米高等教育機関における体育専門学部・学科の現状とカリキュラム改革の動向について,下記大学の改革とカリキュラムの動向を事例的に検討を加えた。:(1)アメリカ西海岸における学部縮小,改組の例,(2)名称変更と大幅改組の例,(3)教育学部の1学科としての専門体育の例,(4)一般体育・スポーツ実技(選択制)の例。|In recent years, physical education departments of higher education are on the decline and the reformation of them is progressing steadily in the U.S.A. and Canada. The purpose of this case study is to make the present condition of the reformation of physical education departments of universities in North America clear. The finding and discussions on the following topics are presented in this paper: 1) West Coast-reduction of PE departments; Oregon State University (OR) and University of Washington (WA), 2) Name change from the School of P.E. and Recreation to the School of Human Kinetics; University of British Columbia (Canada), 3) physical education as a department of school of education; Human Movement course at Boston University (MA) 4) sports activities as an elective subject ; Department of Physical Education & Dance at Boston University (MA)
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".