Understanding Ignorance as It Informs Family and Consumers Sciences' Future
Bibliographic record
Abstract
Reputable scholars are developing typologies of ignorance for different reasons including philosophizing about ignorance as well as understanding ignorance within professions, the scientific endeavour, and women's health (discussed herein). These four agnotological typologies (i. e., the study of ignorance) proved useful for revealing and understanding various aspects of our own and others' veils of ignorance about family and consumer sciences (FCS) and home economics. This suggests that other typologies and future theories of ignorance may be helpful as well. Unchallenged ignorance will continue to compromise a century-old profession's potential to strengthen individuals and families for their own good and that of humanity. Thus, FCS and home economics theorists, researchers, and practitioners are strongly encouraged to engage the comprehensive, complex, and politicized notion of ignorance as it informs our future viability and perceived legitimacy.
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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 | 0.019 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.055 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".