Content and thematic analyses of calcium and weight messages in Canadian women's magazines
Bibliographic record
Abstract
Osteoporosis affects 1.4 million Canadian women over 50 years of age.Maximizing bone mass by age 30 may reduce this risk.Both reduced calcium intake and weight loss are associated with compromised bone mass.Over 50% of Canadian women do not consume recommended amounts of milk and over 600lo of women report dieting.The purpose of this study was to determine the nature of calcium and weight information offered in Canadianmagazines.This focus was chosen because over 70o/o of Canadian women have reportedmagazines as a source of nutrition information.American magazines have been studied, but not Canadian.Therefore, this study used quantitative and qualitative research methods to examine the frequency and content of calcium and weight messages in 24 issues of Flare and Chatelaine, published in 2000 and 2001.beyond the prime age for maximizing bone density, however some of these were ageappropriate because they provided advice for their children.Messages focusing on weight emphasized weight loss through the theme of promoting the thin ideal.Achieving the thin ideal provided strategies to achieve thinness including diets/diet products, food choices, exercise, and changing appearance in some way.Preventing obesity was touched on, while some messages promoted self-acceptance.Generally, Flare's messages concentrated on weight while providing limited calcium information.This inadvertently promotes a lifestyle that may increase risk for osteoporosis.tv DEDICATION I dedicate this work to my children, Liat, Danit, and Eidan, to inspire you.This project exemplifies the notion that anything can be achieved, at any point in life, when goals are set and the desire is within.I also dedicate this thesis to my husband, Ami, whose unrelenting support was so appreciated.On the most stressful of days, when quitting seemed like a simple solution, your encouragement allowed me to continue to pursue my ambition and achieve my goals.ACKNO\ryLEDGMENTS A sincere thank you is extended to the following individuals and organizations.Their
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.013 | 0.018 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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 source (direct Gemma or distilled Codex), 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".