Envelhecimento, idadismo e a invisibilidade dos idosos na mídia: entrevista com Laura Hurd Clarke
Bibliographic record
Abstract
Doutora em Sociologia da Universidade de British Columbia, Laura Hurd Clark pesquisa as experiências de homens e mulheres durante o processo de envelhecimento. Autora de Facing Age: women growing older in an anti-ageing culture e artigos em periódicos de gerontologia social, sociologia do envelhecimento, estudos femininos e outros campos.Esta entrevista foi conduzida em Vancouver, como parte das atividades GRUSCCO (Grupo CNPq de Pesquisa em Subjetividade, Comunicação e Consumo), liderado pela Profa. Dra. Gisela Castro no PPGCOM ESPM, São Paulo.Palestrante convidada do Simpósio Internacional Comunicação, Consumo e Modos de Envelhecimento, evento que compõe a programação do COMUNICON, a Dra. Clark estará em São Paulo em outubro de 2016.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 0.026 |
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".