Being and Becoming: the Implications of Different Conceptualizations of Children and Childhood in Education
Bibliographic record
Abstract
How to conceptualize children and childhood are intrinsic to the ways of understanding education. The ‘becoming’ child is seen as an opposite or negative form of adults while the ‘being’ child is recognized as a social actor with the ability as well as rights to actively participate in its own life and in those of others. However, in addition to the problems of each discourse, such a dyad also leads to a separation of fundamental education factors. With reference to the Interpretative Reproduction Model and the concept of time, this paper discusses an alternative perspective on children and childhood that views the child as the ‘human becoming and being’ concurrently, coupled with its associated implication on education. By doing so, the author hopes to provide a platform facilitating adult professionals, pre-service or in-service teachers, to reflect upon their attitudes towards students and the ways of understanding education.
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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 | 0.008 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.007 | 0.085 |
| Scholarly communication | 0.014 | 0.016 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".