Bibliographic record
Abstract
This is a study on fluid identity and cultural sensitivity in youth. It is important to demonstrate how an individual’s fluid identity can help the individual understand who they are. The need for individuals today to develop cross-cultural competencies and sensitivities is becoming more necessary, especially for youth who are developing their identity. Fluid identity can be described as an identity that is constantly changing or is constantly evolving. Both cultural identity and cultural experiences effect how individuals perceive their world, their beliefs and values. Within this study, the participants will be Canadian students, International students, and youth who have attended international summer camps in Switzerland. I am hypothesizing Canadian students will have a strong identity and fewer international experiences and will therefore score lower on cultural sensitivity. Similarly, I am hypothesizing that youth with international experiences, the International students and Camp youth, will report more fluid identities, and will therefore score higher on cultural sensitivity. In this study identity commitment and cultural sensitivity will be measured through the online survey that involves participant endorsing responses associated with higher sensitivity towards youth of multiple nationalities, race, ethnicities, religions, and beliefs. This study will allow exploration of whether or not international/exposure to multiple cultures experiences enhances cultural sensitivity by allowing a comparison between students with many international/exposure to multiple cultures and students with limited experiences.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".