Bibliographic record
Abstract
Speakers's corner The essence of communityThere is an increase of self interests and turf issues, in the health field.The reply to change is "We can't do that!"It reflects the inability and fear of exploring "alternate scenarios".It demands dreaming, speculation and surprise.This response of politicians, unwilling to take risks, is an excuse for leadership, using polls of public opinion.A leader is a coach, enabler, facilitator to find new stories.Leaders are educators.Ordinary problems of people are ignored.Problems in communities are: food, shelter, health care, education, jobs, racism, and living with a diverse uncaring world.Ignoring this, makes people superfluous.Our preoccupation is with "I", ignoring "WE".An absence of the whole community.Seeing fragments, some say, is human nature.At our beginning levels of psychological and moral development we only survive.Gradually, with maturity, we create new stories, and can see the whole.What is it about America that is so self interested, full of violence, so anti-government, and, anti-community.One cannot personally, remain healthy, when one organ is "sick."In our communities organisms, we focus on parts, closing our eyes to the poor, leaving to others the job of caring for them.Physicians cutting time with patients, cannot see the whole, only the payable symptom.Our ghettos are where "those people" live, ignoring street kids, wishing they behave, sending them to prison, or to die early.We poison lakes to kill fish, and damage the drinking supply, destroying their economy.We deal with the symptom, ignoring underlying questions.How do the symptoms appear, and how can we prevent it?Early immigrants to the USA came because of tyranny of governments, poverty, or as slaves.They fought for freedom to be an "I".They fought the British.The Tories, or lovers of government went to Canada.Canadians state that " they talk of peace order, and good government."Americans, of life, liberty and the pursuit of happiness."Going west, when things failed, blaming others, the new immigrants, minorities, and people of colour, anyone but
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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 | 0.007 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.025 | 0.060 |
| Scholarly communication | 0.021 | 0.023 |
| Open science | 0.002 | 0.025 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".