Bibliographic record
Abstract
all the little shards is a collection of short personal poems about place, examining the 24 year old speaker’s move from stagnation in semi-rural Ontario to Saskatoon, Saskatchewan. As the speaker explores place and life in a new location without any support systems, he struggles with clinical depression, alcohol, social anxiety and ineptitude, as well as loneliness and dissociation with people and place. Isolation and defamiliarization of places and vernacular permeate the collection, and as the narrative progresses the speaker tries to embrace his new home to create, overcome, and enjoy a distinctly different mentality of place. The use of formal styles of poetry and flâneur motifs help locate the speaker and his thoughts while lyrical free-form pieces bring in pauses for meditation, and questions that change the speaker’s perspective, painting pictures of places scattered across the urban and rural prairie. The collection is a journey through self and place, bookended by uncertainty towards the future and the looming move away from a norm—from Ontario to Saskatchewan, and from Saskatchewan to the uncertain right as things seem to be falling into place. This uncertainty about what was before and what comes after is confronted by the aforementioned questions as places become fluid, and the speaker’s changed perspective creates personal dissonance and new appreciation for Saskatchewan.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.006 |
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".