Bibliographic record
Abstract
Cross-cultural psychology has employed the concept of the “field” in two ways. First, as articulated by Lewin, it is the larger context in which all individuals develop their behaviors and now express them; it is a conceptual space within which to situate human behavior. Second, it refers to the cultures and communities in which anthropologists have usually worked, making observations of daily life, and then describing the cultures of the people; it is a physical and symbolic space in which human activity takes place. These two meanings share common features: they both consider that all human behavior develops and is exhibited in contexts; and that these contexts need to be studied and described before human activity can be understood and interpreted. I argue that it is essential for cross-cultural psychology to use and study both meanings of the field concept if we are to make valid interpretations of the origins (roots) and the influences (routes) on behaviors that we observe and assess in our research and practice. Starting over 100 years ago, collaboration between anthropologists and psychologists established the field of cross-cultural psychology. This collaboration continued for many years, but has diminished in recent times. I argue for the necessity to return to the field in both senses in order for our field to advance. This paper examines these two meanings in the disciplines of anthropology and psychology, and presents some elaborations of them, using the ecocultural framework as a general guide, and an arc framework as a specific exposition of it. Examples of fieldwork in psychology and anthropology are presented to provide substance to these frameworks. The claim is made that our discipline has largely abandoned the concept of the field, and proposes a way to correct this error.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".