Technology Use and Information Preferences of Digitally Engaged American Quarter Horse Association Members
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.
Bibliographic record
Abstract
The purpose of this study was to assess AQHA members' preferences for obtaining equine industry information via digital media and give AQHA more knowledge about its digitally engaged membership, as it relates to members' needs and improvements for an expansion of the organization's mobile application. The American Quarter Horse Association (AQHA) is the largest equine breed registry and member organization in the world. Survey research was used in this study. Both quantitative and qualitative data were collected from a 26-question instrument developed by the researcher. Approximately 100,000 instruments were distributed and 5,707 responses were complete and usable. The response rate was 5.7%; however, a follow-up instrument was distributed to allow for generalization. Results revealed the typical respondent to be a white female, who is 42.5 years old and a general membership holder with AQHA. Most respondents earned a high school education, with many obtaining at least one college degree. The typical respondent resides in Texas, has a total household income of $100,000 or more per year, and does not rely on involvement within the equine industry for income. Results also revealed the typical respondent owns a smart phone and accesses the Internet several times a day, from home, via broadband technology. The typical respondent accesses mobile applications and would access a new AQHA-sponsored application. In regard to digital media use, the typical respondent accesses a variety of sources for information and believes digital media is an educational tool; however, the typical respondent is neutral in their opinion of social media and its uses. When considering a potential new AQHA-sponsored mobile application, the typical respondent expects to see AQHA news provided within it and expects to pay for pedigree and records research. It is recommended that AQHA consider the findings from this study in developing a mobile application. The demographic information, as well as the digital media use and mobile application information will be useful in creating an application to be used by the organization's members. It is recommended that further research be conducted on equine enthusiasts' needs and preferences related to obtaining industry information via a variety of platforms.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it