Variance in the Meaning of Time by Family Cycle, Period, Social Context, and Ethnicity
Bibliographic record
Abstract
Research that provides a reader with a context for understanding its purpose and results is theory driven research. Without context there is only empiricism (Tindale, 1991a). Theory before design does not mean the two are mutually exclusive. Indeed, in research that is relevant to the user, they are integral to each other. The choice of methodology made by a researcher is (should be) governed by the theory that gives context to the research question asked. Thus, when asking questions about time, the method used needs to be the method best able to illuminate the question in the context in which it was asked. In short, the sense of time is being sought. When individuals become family members through birth, adoption, marriage, or other means, they enter into a context within which the meaning of time is socially constructed. The construction of time is rich in the warp and weave of meaning. Its meaning has developed and been passed on through multiple generations; it is ongoing and there is a sense of anticipating the future. Running across the movement in time over
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".