Relational poetry in the expression of social identity: Creating interweaving dialogues
Bibliographic record
Abstract
Social constructionism holds that meanings are produced in social interactions, which are, in turn, shaped by specific socio-cultural, political, and economic forces. These forces also affect our sense of self, social identities, knowledge, and interpretation of realities. Following the work of Witkin (2007) on relational poetry, this author interweaves a second poem within the lines and verses of Kumsa’s (2007) poem, thereby producing a poetic dialogue and a new poem. This article highlights the inter-subjectivities of the human experience and the co-construction of meaning arising from multiple experiences, realities and truths. It presents relational poetry as another entrée into our co-constructed realities. It is an experiment with a mode of writing and engagement about inter-subjectivities. In using this literary style, this article also fulfills the ethical responsibility within social work of bringing awareness to voices and perspectives that have been marginalized and oppressed.
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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 | 0.012 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.032 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".