EternalMetal
Active Member
- Mar 31, 2004
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But if only multi-disciplined approaches can provide the "biggest" picture, then how can any single discipline ever hope to be objective, or to provide an objective position? Inevitably any such discipline must be necessarily less than (or less comprehensive than) a multi-disciplinary approach.
I explained that. Compared to strictly adhering to one discipline, multi-disciplinary approaches can be less focused and detailed. Most research studies are remarkably specific and can be used for a more comprehensive review if desired. You are being overly critical of an analysis that does not claim to make inferences outside of one specific concept (fitness landscapes). All I am trying to claim is that in biology homosexuality could be described as an aberrant phenotype that has a slight detrimental effect on the fitness landscape of a species. Considering that imo this is a valid interpretation with regards to evolutionary biology, I argue that it should be a considered point in a multi disciplined approach to analyzing homosexuality and it's implications on a population. This is not a big picture. I made this point because of a post by Phylactery in another thread regarding homosexuality as a mental condition, in which I asserted homosexuality as an observable phenotype defined by a thought process that differs from the general population. This kind of classification is not uncommon in this field.
We might just be defining the word differently, but I'd assume that many scientists don't perceive their findings as "objective." I think that most scientists probably consider their findings to be verifiable, since falsifiability is often taken as a measuring rod of legitimate scientific claims. But a non-falsified claim isn't necessarily an objective statement about reality. According to Kuhn, who wrote the book on paradigm shifts in the sciences, scientific knowledge is less a series of objective claims than a series of predictions based on previously observed phenomena. Science develops as new observations fail to align with previous predictions.
Yea, I think you are looking at a more absolute definition of objectivity. than what I am trying to say. Scientists strive to be as objective as possible, which basically just means not to introduce personal feelings and bias. It is an approach, not an end all of objective truth. The process is described as objective, the findings therefore objective. Whether it takes into account other factors not studied is irrelevant.
A scientist might place a drop of water on the same surface ten times, and nine out of ten times it moves in a particular direction. The scientist may then advance a claim that further drops of water placed on this surface will roll in this particular direction, but this isn't an objective claim.
The process is objective considering that it is free from pre-conceived bias. The logical conclusion from this experiment would be that the water will continue in this statistical pattern given the same conditions. Where would the bias be in saying that this is not an objective scientific claim? I think our disciplines define this differently.