Forester or Bushman? Experience as an Information Source in an Ontario Logging and Tourist Community
Bibliographic record
Abstract
LIS research tends to favour documentary information sources. Using ethnographic methodologies (including photovoice), I explore how experience constitutes an information source in a small Northern Ontario community built on the logging and tourism industries. Preliminary results suggest that experiential information crosses boundaries between work, leisure and everyday life information domains.La recherche en BSI tend à favoriser les sources d’information documentaires. À l’aide d’une méthodologie ethnographique (comprenant l’approche photo-voix), j’explore comment l’expérience constitue une source d’information pour une petite communauté du Nord de l’Ontario vivant de l’exploitation forestière et du tourisme. Les résultats préliminaires suggèrent que l’information expérientielle s’installe à la frontière des domaines du travail, des loisirs et de l’information quotidienne.***Student to CAIS/ACSI Award Winner***
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.053 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".