Opening Up the Unfamiliar and Enabling New Pathways for Movement and Becoming: Through, In, and Beyond Attachment
Bibliographic record
Abstract
The philosophy of Deleuze and Guattari opens up vast potential to disrupt and explore some of the confines of attachment theory when considering the development of enchantment, wishful, and magical thinking in childhood. Through connection with the use of the fairy tale, we seek to illuminate and illustrate the lines of flight, which activate resistance against the universalism of attachment theory and linear process of child development. In using the classic tale of Peter Pan as metaphor, and by applying Deleuzian philosophy and mythology, we aim to expand current thinking about the nature of childhood. By translating text into visual meaning, thus creating a lens with which to view an alternative pathway for child development, the complexity of the spatiotemporality of relationships as a contemporary adjunct to attachment theory is materialized to produce an affective picture of the non-linear dimension and process of development in children. This affective genre illuminates the embodied andsensory aspects of “becoming,” which challenges a reductionist view of relationships. In doing so, this allows a state change that enables professionals and scholars to see differently.
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 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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.057 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| 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".