Awakening the Calabrian Story: The Diverse Manifestations of Acquiring Knowledge
Bibliographic record
Abstract
It all began in the village. We would wake up with the sun, we would rest our laboured bodies underneath the moon. Gli vecchi (old folks) often told us: “In the end, all that will remain is our story. Nothing else really matters.” This thesis “Awakening the Calabrian Story: The Diverse Manifestations of Acquiring Knowledge” will take you into the lives of ten Southern Italian women from Calabria. They will lure you back to their villages: their place of birth, their hearth, to the midst of the olive trees. Their stories will then migrate to Canada, as these women take their first steps on Pier 21.\n\n“In the end, all that matters is our stories.” This thesis will give voice to ten Southern Italian women who will tell the world what, to them, matters most. They will tell their tales and pass on the wisdom they have learned along the way. With each breath and each step, they are always growing, never remaining the same. They go along and live out their villages wherever the thread takes them.\n\nThis thesis itinerary will begin in the village, follow a journey across the Atlantic Ocean to a life in Canada. Chapter One: (Introduction) will outline and describe the background, purpose and objectives, on this journey of awakening. Chapter Two: (Literature Review) will look at pedagogical perspectives in curriculum theory. Chapter Three: (Methodology) will focus on the research methodology applied throughout this thesis process. Chapter Four: (Stories as Data) will lure readers into the personal lives and experiences of participants. Chapter Five: (Interpretation of Stories) will reveal the analysis of acquired knowledge as reported by participants. This thesis itinerary will continue and conclude by the fireside with a collection of Calabrian folktales told by these participants, and translated from the Calabrian dialect into English.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".