Bibliographic record
Abstract
This project is a visual expression of my observations about gender within western culture. My photographic practice is conducted within and mediated by significant beliefs about gender and, in turn, provides ideological support for how I relate to society. Acknowledging that I photograph from a female perspective I photographed both male and female subjects of different genders and races using a 35mm camera with a wideangle lens. I captured images that helped me reflect on my own practice as a photographer. My images can be viewed as individual photographs or as a set. Factors, such as my cultural background, social status, religious beliefs, and level of comfort with my own sexuality, influenced my photographic practice and so will inevitably affect how viewers respond to my images. How I feel about identity construction permeates through out my image making process. As a photographer in the Ryerson University and York University joint program of Communication and Culture exploring different theoretical frameworks undoubtedly affected my studio practice as I gained more knowledge and became more self-reflective. I accept as photographer that my images will not have a fixed meaning but I do intend them to evoke feelings. Since I discovered Henri Cartier-Bresson's work as a young teenager I have always had a profound respect for his abilities and his methodology. Although I would never begin to align my work with a master photographer with regards to quality I have always aspired to his greatness. Robert Frank and Eugene Richards also have inspired me during this Masters project. My more recent appreciation of their work reinforces my belief that there will always be a place for striking 'documentary' style photographs taken on film and printed on fiber based paper by the hand of one whom feels the call ofthe traditional darkroom.
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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".